Alternatives to 1Platform

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

SAP HANA Cloud serves as a fully managed in-memory database as a service (DBaaS) that operates in the cloud. Functioning as the essential data backbone for the SAP Business Technology Platform, it assimilates information from various sectors of the organization, allowing for quicker decision-making based on real-time data. This platform empowers users to construct data solutions using contemporary architectures, yielding actionable insights instantly. As the cloud variant of SAP HANA, it provides the same robust capabilities while being scalable to fit specific requirements, allowing for the processing of diverse business data and facilitating advanced analytics on live transactions with minimal need for optimization. Users can effortlessly connect to distributed data through native integrations, develop applications and tools both in the cloud and on-premises, and manage transient data efficiently. By establishing a singular source of truth, enterprises can access reliable information while ensuring security, privacy, and data anonymization, all upheld by a foundation of enterprise-grade reliability. Furthermore, SAP HANA Cloud supports the evolving needs of businesses as they adapt to dynamic market conditions.

icCube, a Swiss-made analytics solution, is crafted for B2B SaaS product and development teams aiming to integrate advanced analytics directly into their applications. Our dashboards are designed to merge effortlessly within the SaaS solution's UI and UX, powered by icCube’s strong analytical engine, which supports complex data models with high-level security features. Adopting a developer-to-developer approach, the icCube team guides clients to ensure a smooth, rapid transition to production. We recognize the challenges of data navigation, so we’re thrilled to offer our Data Analytics Boutique Services. Tailored for both new and existing clients, this suite provides seamless data integration, fortified security, deep insights, automated decision-making, and visually impactful reports. At every project stage and throughout the product lifecycle, we partner closely with our clients, from providing quick feedback to full project and product launches.

Alkemi's premier offering, DataLab, serves as a secure AI-driven workspace that facilitates direct connections to your organization's regulated data from platforms such as Snowflake, BigQuery, Databricks, or even straightforward CSV uploads, allowing users to pose questions in everyday language and receive immediate, clear answers, visualizations, and suggestions without needing SQL expertise or analyst assistance. Within a private and secure environment, DataLab systematically indexes and examines your data, ensuring that every insight is both traceable and verifiable, maintaining the integrity of your data and protecting intellectual property and governance. By merging the complexities of data storage with accessible decision-making, it enhances the clarity of business intelligence through conversational AI, effectively minimizing BI backlogs and accelerating decision-making across various sectors, including marketing, finance, product, sales, and operations. Furthermore, DataLab empowers data providers to transform their datasets into engaging, AI-ready experiences that can be securely navigated by buyers, facilitating faster data discovery while safeguarding the integrity of the underlying raw data. This innovative approach not only streamlines workflows but also fosters a culture of data-driven decision-making within organizations.

The Oracle Fusion Data Intelligence platform represents the evolution of the Oracle Fusion Analytics Warehouse, specifically designed for Oracle Fusion Cloud Applications; it seamlessly integrates business data with readily available analytics and prebuilt AI and machine learning models to enhance insights and expedite the transformation of decision-making into actionable outcomes. By moving past traditional dashboards and reports, users can utilize prebuilt applications that provide insights and AI/ML-driven recommendations for more effective actions. With access to over 2,000 best-practice key metrics, dashboards, and reports related to ERP, SCM, HCM, and CX, organizations can effectively assess their performance against set objectives. Additionally, the platform offers comprehensive 360-degree views of essential business entities by linking data from various Fusion Cloud Applications and other sources. Users can harness the power of prebuilt AI/ML models to forecast business outcomes and gain critical insights while also having the flexibility to create custom content tailored to their own data, analytics, and applications. This versatility makes the platform an invaluable tool for businesses looking to enhance their operational effectiveness and strategic planning.

DataWise is a specialized solution designed specifically for the modernization of SAP data. It effectively connects SAP systems, whether ECC or S/4HANA, with the Databricks Lakehouse, facilitating the conversion of isolated operational data into a reliable and analytics-ready platform that supports real-time decision-making and fosters AI advancements. By utilizing SAP-native connectors and offering prebuilt models for various modules such as SD, MM, PM, Finance, Ariba, and SuccessFactors, DataWise significantly enhances value. It employs automated ELT pipelines to transfer data into Delta Lake, while its MatchX AI-driven data quality engine ensures data cleansing, standardization, deduplication, and entity matching, thereby improving data accuracy and completeness on a large scale. Comprehensive governance is maintained throughout the process via Unity Catalog, which implements fine-grained access controls and tracks data lineage. After the data has been standardized and governed, DataWise enables seamless activation of your SAP data across business intelligence dashboards, machine learning functionalities, and event-driven workflows, all without interfering with your core ERP operations. This innovative approach not only streamlines data accessibility but also empowers organizations to leverage their SAP data for enhanced insights and decision-making.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.

The Teradata Enterprise AgentStack is a comprehensive platform designed for the development, deployment, and management of enterprise-level autonomous AI agents that seamlessly connect to reliable data and analytics, aiding businesses in transitioning from experimentation phases to fully operational agentic AI with robust enterprise control. This platform consolidates diverse functionalities to facilitate the entire agent lifecycle; AgentBuilder streamlines the process of creating intelligent agents through both no-code and pro-code tools that are compatible with Teradata Vantage and various open-source frameworks. Furthermore, the Enterprise MCP provides secure, context-rich access to well-governed enterprise data along with tailored prompts that enhance agent intelligence. Meanwhile, AgentEngine ensures scalable agent execution while maintaining consistent memory and reliability across various hybrid environments. Additionally, AgentOps plays a crucial role in centralizing the monitoring, governance, compliance, auditability, and policy enforcement, ensuring that the agents operate within established parameters, which ultimately leads to increased efficiency and adherence to organizational standards. Collectively, these features empower organizations to harness the full potential of autonomous AI in a controlled and efficient manner.

Codd AI addresses a major challenge in the analytics landscape: transforming data into a format that is genuinely suitable for business purposes. Rather than having teams dedicate weeks to the tedious tasks of manually mapping schemas, constructing models, and establishing metrics, Codd leverages generative AI to automatically generate a context-aware semantic layer that connects technical data with the language of the business. As a result, business users can pose inquiries in straightforward English and receive precise, governed responses instantly—whether through BI tools, conversational AI, or various other platforms. Additionally, with built-in governance and auditability, Codd not only accelerates the analytics process but also enhances clarity and reliability. Ultimately, this innovative approach empowers organizations to make more informed decisions based on trustworthy data insights.

Mobser is a cutting-edge platform that harnesses the power of artificial intelligence to provide smart data analytics solutions, allowing users to effortlessly craft insightful reports, engaging visualizations, and in-depth analytics. Aimed at converting raw data into meaningful insights, Mobser utilizes AI to automate the creation of detailed dashboards and data narratives. With a user-friendly interface, it enables rapid exploration, allowing individuals to upload datasets and immediately visualize trends, patterns, and anomalies using customizable, interactive charts. By combining data processing with intelligent insights, the platform enhances the decision-making process, empowering users to comprehend their information clearly, all without the need for advanced technical expertise. Moreover, Mobser's ability to adapt to various datasets ensures that users can always extract relevant insights tailored to their specific needs.

FeatureByte acts as your AI data scientist, revolutionizing the entire data lifecycle so that processes that previously required months can now be accomplished in mere hours. It is seamlessly integrated with platforms like Databricks, Snowflake, BigQuery, or Spark, automating tasks such as feature engineering, ideation, cataloging, creating custom UDFs (including transformer support), evaluation, selection, historical backfill, deployment, and serving—whether online or in batch—all within a single, cohesive platform. The GenAI-inspired agents from FeatureByte collaborate with data, domain, MLOps, and data science experts to actively guide teams through essential processes like data acquisition, ensuring quality, generating features, creating models, orchestrating deployments, and ongoing monitoring. Additionally, FeatureByte offers an SDK and an intuitive user interface that facilitate both automated and semi-automated feature ideation, customizable pipelines, cataloging, lineage tracking, approval workflows, role-based access control, alerts, and version management, which collectively empower teams to rapidly and reliably construct, refine, document, and serve features. This comprehensive solution not only enhances efficiency but also ensures that teams can adapt to changing data requirements and maintain high standards in their data operations.

Analysts can leverage drag-and-drop tools alongside generative AI to prepare and blend data up to 100 times faster compared to traditional methods. A self-service data analytics platform empowers every analyst by eliminating costly bottlenecks in the analytics process. Alteryx Designer stands out as a self-service data analytics solution that equips analysts to effectively prepare, blend, and analyze data through user-friendly, drag-and-drop interfaces. The platform boasts compatibility with over 300 automation tools and integrates seamlessly with more than 80 data sources. By prioritizing low-code and no-code features, Alteryx Designer allows users to construct analytic workflows effortlessly, expedite analytical tasks using generative AI, and derive insights without requiring extensive programming knowledge. Additionally, it facilitates the export of results to more than 70 different tools, showcasing its exceptional versatility. Overall, this design enhances operational efficiency, enabling organizations to accelerate their data preparation and analytical processes significantly.

Business Pulse redefines analytics by putting AI-driven insights directly into the hands of business users through a natural language chat interface. Instead of waiting for reports or depending on technical teams, users can query their data in real time and receive instant responses in the form of charts, summaries, or downloadable tables. This conversational approach to analytics not only accelerates decision-making but also enhances collaboration by ensuring all stakeholders access the same centralized platform. By integrating with multiple tools and data warehouses, Business Pulse eliminates fragmentation and consolidates company-wide insights. The platform also addresses common business challenges such as delayed reporting, limited visibility, and disconnected data silos. Its AI engine goes beyond surface-level dashboards by identifying anomalies, highlighting opportunities, and contextualizing business performance. Companies can choose to fully customize Business Pulse for their systems or deploy it as a managed service. Ultimately, it empowers teams to move faster, think deeper, and act confidently with data at their fingertips.

QuickLaunch Analytics serves as an enterprise data analytics solution that empowers organizations to consolidate disparate data from various sources, such as ERP, CRM, financial, HR, and operational systems, into a cohesive, governed analytics environment, delivering quicker, actionable insights. Instead of constructing an analytics infrastructure from the ground up, it offers a Foundation Pack featuring automated data pipelines, a cloud-native data lakehouse, and Power BI semantic models, enabling seamless integration, cleansing, and governance of raw enterprise data for analytical purposes. Additionally, the platform includes Application Packs that provide pre-built, application-specific intelligence and ready-to-use semantic models customized for systems like JD Edwards, Viewpoint Vista, NetSuite, and Salesforce, effectively translating intricate data structures into easily understandable business metrics and dashboards. As a result, QuickLaunch Analytics significantly reduces the time required to gain insights from several months or years down to just weeks, all while promoting standardized metrics and reports, facilitating cross-application analysis, and enhancing self-service BI capabilities via the use of cutting-edge technologies. This approach not only streamlines data processing but also enables organizations to make data-driven decisions with greater agility and confidence.

Speeding up the process of gaining insights and removing obstacles for data analysts is crucial. With the help of intelligent automation in the data stack, you can extract insights from your data much faster—up to ten times quicker—thanks to AI innovations. Originally developed at Stanford's AI lab, this cutting-edge intelligence for today’s data stack is now accessible for your organization. You can leverage natural language to derive value from your disorganized, intricate, and isolated data within just minutes. Simply instruct your data on what you want to achieve, and it will promptly produce the necessary code for execution. This automation is highly customizable, tailored to the unique complexities of your organization rather than relying on generic templates. It empowers individuals to securely automate data-heavy workflows on the modern data stack, alleviating the burden on data engineers from a never-ending queue of requests. Experience the ability to reach insights in mere minutes instead of waiting months, with solutions that are specifically crafted and optimized for your organization’s requirements. Moreover, it integrates seamlessly with various upstream and downstream tools such as Snowflake, Databricks, Redshift, and BigQuery, all while being built on dbt, ensuring a comprehensive approach to data management. This innovative solution not only enhances efficiency but also promotes a culture of data-driven decision-making across all levels of your enterprise.

Orbit is a sophisticated financial intelligence platform driven by artificial intelligence, designed to convert both unstructured and structured financial data into precise, transparent, and scalable insights. It merges a state-of-the-art AI Studio with an extensive repository containing millions of documents related to thousands of global companies, facilitating the automation of workflows and simplifying intricate research processes. By leveraging advanced AI models alongside pre-configured analytical tools, Orbit enhances areas such as competitor intelligence, due diligence, risk and compliance assessment, earnings analysis, investment research, and ESG evaluations, enabling in-depth analysis on a large scale. The platform’s flexible architecture features various components, including Orbit Insight for informed decision-making, AI-optimized knowledge bases for extensive financial content, and tools that efficiently standardize and manage diverse data inputs. Users benefit from capabilities such as semantic search and chat, automated data extraction, the creation of personalized knowledge bases, and the deployment of analytical agents, ensuring a comprehensive approach to financial analysis. Additionally, Orbit's design prioritizes user experience, making it accessible for professionals at all levels.

Data often necessitates thorough preprocessing to align with your specific requirements. Our AI streamlines the cumbersome process of data preparation and cleansing, effectively freeing up hours of your time. Research shows that data analysts dedicate approximately 80% of their time to this tedious and manual effort just to extract valuable insights. With the advent of AI, the landscape changes dramatically. For instance, it can convert text fields such as customer feedback into quantitative ratings ranging from 0 to 5. Moreover, it can detect trends in customer sentiments and generate new columns for sentiment analysis. By eliminating irrelevant columns, you can concentrate on the data that truly matters. This approach is further enhanced by integrating external data, providing you with a more holistic view of insights. Poor-quality data can result in flawed decision-making; thus, ensuring the quality and cleanliness of your data should be paramount in any data-driven strategy. You can be confident that we prioritize your privacy and do not use your data to improve our AI systems, meaning your information is kept strictly confidential. Additionally, we partner with the most reputable cloud service providers to safeguard your data effectively. This commitment to data security ensures that you can focus on deriving insights without worrying about data integrity.

Nao is an innovative data IDE powered by artificial intelligence, specifically tailored for data teams, seamlessly merging a code editor with direct access to your data warehouse, enabling you to write, test, and manage data-related code while retaining complete contextual awareness. It is compatible with various data warehouses, including Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift. Upon connection, nao enhances the conventional data warehouse console by providing features like schema-aware SQL auto-completion, data previews, SQL worksheets, and effortless navigation between multiple warehouses. At the heart of nao lies its intelligent AI agent, which possesses comprehensive knowledge of your data schema, tables, columns, metadata, as well as your codebase or data-stack context. This agent is capable of generating SQL queries, constructing entire data transformation models such as those used in dbt workflows, refactoring existing code, updating documentation, conducting data quality assessments, and performing data-diff tests. Furthermore, it can uncover insights and facilitate exploratory analytics, all while maintaining strict adherence to data structure and quality standards. With its robust capabilities, nao empowers data teams to streamline their workflows and enhance productivity significantly.

Compass is a data assistant that leverages AI and integrates seamlessly with Slack, enabling users to transform straightforward inquiries into immediate answers, summaries, charts, and insights derived from the actual data in their warehouses. This tool is designed to empower teams to make informed, data-driven choices without having to deal with the delays of BI backlogs or the need to create dashboards beforehand. By establishing direct connections with prominent data warehouses such as Snowflake, BigQuery, Redshift, Postgres, AWS Athena, and Databricks, Compass not only learns the schema and context of your data but also delivers governed, SQL-powered responses and visualizations within the familiar tools used by your team, ensuring data remains secure and under your control. Over time, Compass enhances organizational knowledge, making answers progressively more precise and pertinent, while fostering collaboration through Slack threads, allowing the scheduling of recurring analyses, and maintaining a centralized repository of definitions and insights that diminish analytical silos and lessen dependency on specialized SQL expertise. Furthermore, this innovative solution streamlines the decision-making process, making it easier for teams to access and utilize data effectively.

DataGalaxy is redefining how organizations govern and activate their data through a single, collaborative platform built for both business and technical teams. Its data and analytics governance solution provides the visibility, control, and alignment needed to transform data into a true business asset. The platform unites automated data cataloging, AI-driven lineage, and value-based prioritization to ensure every initiative is intentional and measurable. With features like the strategy cockpit and value tracking center, organizations can connect business objectives to actionable data outcomes and monitor ROI in real time. Over 70 native connectors integrate seamlessly with tools like Snowflake, Azure Synapse, Databricks, Power BI, and HubSpot, breaking down data silos across hybrid environments. DataGalaxy also embeds AI-powered assistants and compliance automation for frameworks like GDPR, HIPAA, and SOC 2, making governance intuitive and secure. Trusted by global enterprises including Airbus and Bank of China, the platform is both scalable and enterprise-ready. By blending data discovery, collaboration, and security, DataGalaxy helps organizations move from reactive governance to proactive value creation.

TransOrg Analytics has established itself as a reliable provider of advanced analytics and AI solutions, assisting companies in converting raw data into actionable insights. The organization enables businesses to make quicker, more informed, and data-centric choices. Specializing in data engineering, predictive analytics, machine learning, and generative AI, TransOrg offers adaptable solutions aimed at addressing intricate business issues. Their services promote efficiency, foster innovation, and yield measurable returns on investment. Catering to a variety of sectors including banking, retail, healthcare, hospitality, and manufacturing, TransOrg delivers tailored solutions in fields such as demand forecasting, fraud detection, customer analytics, and process automation. Supported by a talented team of data scientists and engineers, TransOrg merges technical prowess with business insights. Their goal is to facilitate the adoption of analytics, empower decision-makers, and establish lasting value for businesses, ultimately guiding them towards sustained success and growth.

The Predactiv Data Platform serves as an AI-enhanced unified data solution, merging cutting-edge artificial intelligence with exclusive real-time behavioral datasets and flexible data science capabilities to assist organizations in ingesting, enriching, analyzing, and activating data for generating actionable insights, creating audiences, developing predictive models, and enabling data activation across various channels. It facilitates the effortless onboarding of data from diverse sources, ensuring validation and integration into a compliant framework, while transforming the information into enriched datasets that uncover consumer intent, behaviors, and predictive signals through the use of AI-driven embeddings and agentic orchestration functionalities. By leveraging its unique global digital behavioral and purchase data, the platform provides a comprehensive view of consumers that fosters real-time insights and creates high-precision audience segments geared towards marketing, advertising, and informed strategic decision-making. Consequently, brands and agencies are empowered to pinpoint and engage potential customers based on their observed behaviors, enhancing the effectiveness of their campaigns and outreach efforts. This holistic approach not only streamlines data processes but also drives deeper understanding of consumer dynamics in a rapidly evolving marketplace.

Equip your data professionals with advanced contextual learning agents that enable immediate insights from intricate structured data. Your data transcends mere numbers; it tells a story. Our advanced contextual learning system processes, enriches, and integrates your diverse, multi-source data, converting disjointed facts into a unified graph. From multi-cloud data warehouses to sophisticated data lineage tracking, observe the comprehensive narrative unfold in real-time. Acquire insights that adapt alongside your data, facilitating informed decisions free from distractions. Synchronize every data role into a cohesive workflow through agent-assisted collaboration. Analysts, engineers, managers, and artificial intelligence collaborate seamlessly, dismantling barriers with agent-driven processes that clarify even the most intricate analytics challenges. Our agents promote an effortless information exchange among teams, significantly reducing the time needed for insights and enhancing team effectiveness. Together, unleash the complete potential of your data. By fostering collaboration and streamlining processes, your organization can thrive in an increasingly data-driven landscape.

Corvic’s sophisticated enterprise data platform propels your strategic initiatives forward by offering transparent analysis and reliable outcomes. It seamlessly integrates with various data types, such as documents, images, tables, graphs, and time series, transforming them into valuable insights across multiple dimensions. When you pose a question to Corvic, it activates a dynamic workflow specifically designed for that inquiry, utilizing a combination of machine learning processing, semantic searches, graph AI, online analytical processing, and generative inference techniques. Unlike RAG, which falters when faced with intricate data complexities, Corvic excels by accommodating complex data types, thereby delivering more nuanced insights that standard RAG systems cannot achieve. This powerful platform not only retrieves and analyzes data but also forecasts future outcomes, enhancing your decision-making with a profound, actionable comprehension. By intelligently associating data, Corvic improves accuracy and tackles the hallucination issues commonly associated with RAG-driven solutions, ensuring you receive the most reliable information. In an ever-evolving data landscape, Corvic stands out as a crucial tool for businesses striving for a competitive edge.

Informatica's CLAIRE AI represents a sophisticated, enterprise-level artificial intelligence engine that is integrated into the Intelligent Data Management Cloud, designed to automate and expedite various data management activities, ultimately ensuring the delivery of reliable, accurate, and AI-prepared data on a large scale. By leveraging profound metadata insights, CLAIRE minimizes the need for manual intervention, broadens data accessibility, and enhances workflows across several domains including integration, data quality, governance, master data management, and observability, thus enabling autonomous operations through AI agents, natural language processing, and forward-thinking recommendations. This innovative system facilitates features such as CLAIRE Agents, which are capable of independently planning, reasoning, and addressing intricate data issues such as discovery, pipeline creation, quality improvement, and lineage tracking; CLAIRE GPT, a conversational tool that empowers users to engage in natural language inquiries for data exploration, analysis, and task execution; and CLAIRE Copilot, an AI-based assistant that offers contextual advice and actionable suggestions to users. Additionally, the seamless integration of these functionalities transforms the data management landscape, making it more efficient and user-friendly, thereby allowing organizations to harness the full potential of their data resources.

Beye is an innovative generative business intelligence platform designed to rapidly process and cleanse raw data from various sources like spreadsheets, ERPs, and cloud applications, creating cohesive and AI-enhanced data environments in a matter of weeks instead of months. Its generative BI agent automatically constructs your initial data model and introductory dashboards tailored to your specific needs, utilizing metadata, semantic layers, and measures while eliminating the need for manual data preparation. Users at all levels, from business personnel to executives, can pose inquiries in straightforward English without requiring knowledge of SQL or navigating complex dashboards, gaining immediate access to detailed analytics, contextual insights, and explanations of underlying causes with verifiable queries. Furthermore, Beye integrates flawlessly with platforms such as SAP, Snowflake, Salesforce, and NetSuite, among more than 50 other data sources, enabling collaborative features and personalized metrics while ensuring the reliability of responses through AI-powered workflows. Ultimately, Beye empowers organizations to make data-driven decisions more efficiently and confidently.

The Microsoft Intelligent Data Platform serves as a cohesive data and AI solution that empowers organizations to quickly adapt, infuse intelligence into their applications, and derive predictive insights. By harmonizing databases, analytics, and governance, this platform allows businesses to focus more on creating value instead of managing their data infrastructure. It ensures smooth data integration and offers real-time business intelligence, which supports effective decision-making and drives innovation. By dismantling data silos, organizations can gain immediate insights while maintaining the essential data governance needed for secure operations. Additionally, the platform enhances innovation, boosts productivity through automation and AI, and increases agility by forecasting changes and refining decision-making processes. Security is also a top priority, as the platform provides robust protection throughout the data lifecycle, safeguarding both hybrid and multi-cloud environments. Ultimately, this comprehensive approach not only streamlines data management but also cultivates a more informed and responsive organizational culture.

SAP HANA is an in-memory database designed to handle both transactional and analytical workloads using a single copy of data, regardless of type. It effectively dissolves the barriers between transactional and analytical processes within organizations, facilitating rapid decision-making whether deployed on-premises or in the cloud. This innovative database management system empowers users to create intelligent, real-time solutions, enabling swift decision-making from a unified data source. By incorporating advanced analytics, it enhances the capabilities of next-generation transaction processing. Organizations can build data solutions that capitalize on cloud-native attributes such as scalability, speed, and performance. With SAP HANA Cloud, businesses can access reliable, actionable information from one cohesive platform while ensuring robust security, privacy, and data anonymization, reflecting proven enterprise standards. In today's fast-paced environment, an intelligent enterprise relies on timely insights derived from data, emphasizing the need for real-time delivery of such valuable information. As the demand for immediate access to insights grows, leveraging an efficient database like SAP HANA becomes increasingly critical for organizations aiming to stay competitive.

Embrace a groundbreaking age of analytics through the Alteryx AI Platform. Equip your organization with streamlined data preparation, analytics powered by artificial intelligence, and accessible machine learning, all while ensuring governance and security are built in. This marks the dawn of a new era for data-driven decision-making accessible to every user and team at all levels. Enhance your teams' capabilities with a straightforward, user-friendly interface that enables everyone to develop analytical solutions that boost productivity, efficiency, and profitability. Foster a robust analytics culture by utilizing a comprehensive cloud analytics platform that allows you to convert data into meaningful insights via self-service data preparation, machine learning, and AI-generated findings. Minimize risks and safeguard your data with cutting-edge security protocols and certifications. Additionally, seamlessly connect to your data and applications through open API standards, facilitating a more integrated and efficient analytical environment. By adopting these innovations, your organization can thrive in an increasingly data-centric world.

Introducing a pioneering prompt-to-visualization API designed to effortlessly merge with both enterprise and public data, allowing users to quickly and precisely obtain visually compelling responses to their inquiries. This innovative tool empowers organizations to have interactive discussions with their own data, promoting efficient teamwork and well-informed decision-making processes. It facilitates the generation of Python code and the integration of various data sets, acting as a self-sufficient data science agent that offers extensive assistance in data analysis, predictive modeling, and sophisticated analytics. This solution creates a customized AI sidekick experience tailored to meet the specific needs of your organization. Unlike public LLMs, which are not equipped to handle an enterprise's distinct, proprietary datasets, your sidekick enhances workplace efficiency significantly. The user-friendly interface for intricate analyses is now available to every team member, irrespective of their technical skills. By providing API-level access, your sidekick seamlessly connects with your current products, systems, and operational workflows, ensuring a smooth integration into your business environment. As a result, organizations can unlock new levels of productivity and collaboration across all departments.

The NOORAI Platform represents a state-of-the-art AGI solution that aims to consolidate and streamline access to reliable economic data from a variety of international sources. Users can delve into indicators from reputable organizations such as the IMF, OECD, FRED, and SEC by utilizing natural language queries or by visually navigating a global map. With its advanced predictive analytics and intelligent "What-If" simulations, the platform equips users to evaluate different scenarios and forecast trends with a high degree of assurance. This platform is particularly beneficial for professionals and organizations that depend on data-driven insights for their decision-making processes, as it simplifies intricate datasets into practical knowledge. Featuring hybrid forecasting capabilities along with a user-friendly interface, NOORAI allows users to anticipate trends, assess the potential impacts of various scenarios, and export their analyses into polished presentation formats, such as branded PowerPoint presentations, in just a matter of clicks. Moreover, its versatility ensures that it can cater to a diverse range of industries and analytical needs.

ClearScape Analytics serves as Teradata's sophisticated analytics platform, equipped with powerful, interconnected AI and machine learning functionalities that are tailored to provide superior insights and quicker outcomes. It features comprehensive in-database analytics that empower users to tackle intricate challenges using a wide array of in-database analytic functions. Supporting multiple programming languages and APIs, it ensures seamless integration with leading open-source and partner AI/ML tools. Through its "Bring Your Own Analytics" capability, businesses can easily implement all their models, including those created using other platforms. The ModelOps functionality significantly speeds up the time to realize value by compressing deployment durations from several months to just days, facilitating automated model scoring and enabling production-level scoring. Furthermore, it enhances user capability to quickly extract value from generative AI scenarios utilizing open-source large language models, ultimately streamlining the entire process of analytics implementation. This unique combination of features allows organizations to stay ahead in the rapidly evolving landscape of data analytics.

BayesLab serves as an advanced AI platform designed for in-depth data analysis, catering to individuals with varying levels of expertise who seek to derive valuable insights from their datasets. By integrating AI-enhanced analytics, visualization, reasoning, and reporting into a unified interface, it allows users to upload or link datasets effortlessly. The platform leverages large-language AI to analyze, visualize, and elucidate significant trends and patterns, enabling swift transitions from raw data to actionable insights without the need for a dedicated data team. Users benefit from automated generation of charts and reports, along with statistical analyses, predictive modeling, and adaptable templates tailored for various processes such as risk assessment, forecasting, segmentation, and performance monitoring. Furthermore, it produces high-quality outputs including exportable narratives, PDFs, dashboards, and data files that are ready for presentation in board meetings. Acting as an intelligent collaborator, BayesLab encourages users to engage in natural language inquiries, delve deeper into their findings, fine-tune analytical procedures, and interactively iterate on their analyses, making data exploration a more intuitive experience. This seamless integration of features positions BayesLab as a valuable tool for anyone looking to make data-driven decisions with confidence.

DataOS, the flagship product of The Modern Data Company, transforms the way organizations manage, unify, and activate their data at scale by converting raw information into governed, reusable, and AI-compatible data products that enhance insights and decision-making without hindering team productivity. This innovative system provides a flexible, open framework that integrates seamlessly with existing data infrastructures, enabling businesses to find and utilize reliable data products equipped with comprehensive policies, clear ownership, traceability, and a universal semantic layer that standardizes metrics and definitions across various domains. By minimizing complexity and hidden expenses, DataOS accelerates the journey to realizing value from data. Additionally, it offers powerful discovery and search functions, allowing users to navigate through a collection of curated, business-ready data products organized by domain or use case, while also incorporating global metrics and lifecycle management to track the usage, performance, adoption, and return on investment of data products throughout their entire lifecycle. As a result, organizations can make more informed decisions faster, ultimately leading to improved business outcomes.

NeoAnalyst is an advanced AI-driven platform for data analysis that empowers business executives to obtain swift and accurate insights without needing to possess programming skills or data science knowledge. By allowing users to upload any dataset, NeoAnalyst automatically constructs context, eliminating the need for detailed user guidance or manual data organization. The platform is equipped with hundreds of pre-existing models tailored for both exploratory and statistical analysis, and it also includes 25 AI-generated queries to assist users in initiating their analytical processes. With features such as predictive analytics, visually engaging data representations, and customized recommendations, it significantly enhances the decision-making capabilities of its users. Furthermore, NeoAnalyst offers a variety of subscription options, including a complimentary tier for individuals, making it accessible to professionals from diverse fields. This versatility ensures that the platform can effectively streamline the data analysis workflow for users in numerous industries, ultimately driving better business outcomes.

The digital shelf analytics and performance platform powered by AI is designed to assist brands and retailers in achieving success online by offering immediate insights, automation capabilities, and competitive benchmarking throughout the entire digital landscape. By consolidating data from over 1,000 websites and applications in various languages, it provides valuable analytics on factors such as pricing strategies, product availability, content excellence, promotional success, customer perceptions, search visibility, and essential performance metrics. The platform incorporates customizable automation and integrates seamlessly with PIM, DAM, and CRM systems to analyze price adjustments and discounts, project future pricing, compare products competitively, evaluate marketing materials—including banners and video advertisements—examine the quality of product images, and suggest content optimized for search engines. Additionally, it delivers timely notifications regarding stock shortages and price modifications, features a conversational AI assistant for data inquiries and summaries, and enables dynamic content creation along with keyword suggestions. By leveraging such comprehensive tools, brands and retailers can stay ahead in the competitive online marketplace.

Xtract Data Automation Suite (XDAS) is a comprehensive platform designed to streamline process automation for data-intensive workflows. It offers a vast library of over 300 pre-built micro solutions and AI agents, enabling businesses to design and orchestrate AI-driven workflows with no code environment, thereby enhancing operational efficiency and accelerating digital transformation. By leveraging these tools, XDAS helps businesses ensure compliance, reduce time to market, enhance data accuracy, and forecast market trends across various industries.

Anzo is an innovative platform for data discovery and integration that empowers users to locate, connect, and blend various enterprise data into datasets that are ready for analysis. With its distinctive application of semantics and graph data models, Anzo enables individuals across the organization—from expert data scientists to inexperienced business users—to actively participate in the data discovery and integration journey, crafting their own analytics-ready datasets in the process. The graph data models offered by Anzo create a visual representation of enterprise data, simplifying the navigation and understanding of complex and siloed information. By incorporating semantics, Anzo enriches the data with business context, allowing users to unify data according to shared definitions and create blended datasets that are tailored for immediate business needs. This democratization of data access not only fosters collaboration but also accelerates decision-making across various levels of the organization.

Microsoft 365 Copilot Analyst is a sophisticated AI tool that converts unrefined data into meaningful insights. With its robust data analysis features, including the ability to utilize Python coding, Analyst assists users in making smart, data-oriented decisions. The tool can handle intricate datasets, produce comprehensive reports, and identify patterns, all while smoothly connecting with the Microsoft 365 ecosystem. By enabling users to automate their data analysis processes, Analyst not only saves time but also allows businesses to enhance their strategic decision-making based on timely and precise insights. This innovation represents a significant leap forward in how organizations can leverage technology for improved operational effectiveness.

MachEye's innovative embedded search, enhanced by LLM technology, delivers smart search capabilities, actionable insights, and engaging narratives derived from your business data. This platform empowers all employees within an organization by providing conversational responses, concise summaries, and multimedia presentations. Unlike conventional analytical tools that primarily address "what" inquiries regarding data, MachEye presents a holistic solution that allows users to explore "what, why, and how" questions relevant to their roles. With an intuitive interface reminiscent of Google’s search functionality and YouTube’s dynamic audio-visual content, decision-makers across all levels can access insightful recommendations and actionable data. Additionally, MachEye introduces an interactive "play" button feature, significantly enhancing the data analysis experience, making it easier for users to engage with and interpret complex information. This level of interactivity fosters a more comprehensive understanding of data within the organization.

YOOV is a business automation platform powered by AI that seamlessly integrates artificial intelligence, process orchestration, and data intelligence within a cohesive, no-code framework. This platform empowers users to digitize their workflows, automate mundane tasks, and create tailored applications for various needs, such as CRM, ERP, project management, and inventory, all without any coding knowledge, thanks to its user-friendly drag-and-drop interface. YOOV facilitates lifecycle automation across a variety of departments, including HR, sales, marketing, and customer service, and spans multiple industries, such as engineering, real estate, and healthcare, thereby enabling businesses to customize their solutions based on specific functions, departments, or sectors. The platform incorporates advanced large language models and offers features such as plug-in extensions, visual workflow design, API integrations, and an app marketplace filled with useful templates. Data is not only centralized but also harmonized, ensuring real-time access to comprehensive reporting, dashboards, and analytical insights. Additionally, security measures are robust, featuring AES-256 encryption for data at rest and TLS encryption during data transmission, with all information stored in facilities that meet SOC 1, SOC 2, and ISO 27001 certification standards. Ultimately, YOOV represents an innovative approach to automating business processes, making it an invaluable tool for organizations seeking efficiency and adaptability.

Scoop is the best thing that has happened to data since spreadsheets. Instantly unlock all your business data. Scoop allows you to combine and analyze data anywhere for better decisions. You can forget about all the resources and tools you need to get answers from your data. Scoop lets you do everything from data collection, spreadsheet analysis and visual data stories in one platform. Data from your business applications can be automatically collected and blended together. Scoop allows any application to push data, without requiring pre-built connectors and custom APIs. Create master datasets for analytics, visualizations and more, using your spreadsheets. Scoop automatically updates your data. From scooping up data from applications to prepping data in spreadsheets, to analyzing and presenting visual data stories. No data team or technical setup is required. Blend data from multiple sources to create beautiful data stories using live, shareable data.

Effortlessly link your data to the engine by either uploading a file or establishing a connection to a database. Once connected, you can begin to explore your data through various visualizations, or you can prepare it for machine learning modeling using data wrangling techniques and reusable recipes. Maximize the potential of your data by constructing machine learning models with regression, classification, or clustering algorithms—all without requiring any coding skills. Discover valuable insights into your dataset through tools that highlight feature importance, explain predictions, and allow for scenario analysis. Additionally, you can make forecasts and easily integrate them into your current systems using our pre-configured connectors, enabling you to take immediate action based on your findings. This streamlined process empowers you to unlock the full value of your data and drive informed decision-making.

Conversational Intelligence offers a distinctive approach for human users to engage with machines, where individuals contribute their intuition while machines utilize their capacity to navigate data and reveal intriguing patterns. This synergy allows both humans and machines to leverage their respective strengths, facilitating the identification of valuable insights within data sets. With the innovative Conversational Intelligence technology developed by DataChat, users can seamlessly perform a wide variety of data analytics tasks—including exploratory data analysis, predictive analytics, structured querying, free search querying, visualization, and data wrangling—all from a single interface. Engaging with the platform is as simple as having a conversation in a controlled natural language. Experience the benefits of increased efficiency and speed, enabling teams to gain deeper insights from data swiftly, regardless of their size, and propel your business forward at an impressive pace. By harnessing this technology, you can enhance your competitive edge in the market. DataChat AI serves as a conversational and intuitive platform for data analytics.

Power BI provides advanced data analysis, leveraging AI features to transform complex datasets into visual insights. It integrates data into a single source, OneLake, reducing duplication and streamlining analysis. The platform enhances decision-making by integrating insights into everyday tools like Microsoft 365 and is bolstered by Microsoft Fabric for data team empowerment. Power BI is scalable, handling extensive data without performance loss, and integrates well with Microsoft's ecosystem for coherent data management. Its AI tools are user-friendly and contribute to efficient and accurate insights, supported by strong data governance measures. The Copilot function in Power BI enables quick and efficient report creation. Power BI Pro licenses individuals for self-service analytics, while the free account offers data connection and visualization capabilities. The platform ensures ease of use and accessibility, backed by comprehensive training. It has shown a notable return on investment and economic benefits, as reported in a Forrester study. Gartner's Magic Quadrant recognizes Power BI for its ability to execute and completeness of vision.