Business Software for Google Cloud BigQuery

Consolidate all your customer information from various technology platforms to gain a comprehensive understanding of essential metrics for each client, such as risk indicators, churn probabilities, and usage patterns. By integrating your data, you can develop a holistic view of your customers' well-being and emerging trends. Leverage the insights provided by Churned to adopt a proactive strategy against churn, identifying the necessary steps to retain customers. Utilize AI-generated health scores, pinpoint key factors contributing to churn, and determine the most effective next actions. Receive automated notifications when a customer is at risk or when new opportunities present themselves. The results are presented clearly, tailored to different customer segments, allowing for targeted engagement. Ensure that you are prepared to interact with customers showing signs of deteriorating health and seize growth opportunities with your most valuable clients. Enhance the expansion of your business through Churned’s automated recommendations for the next best product and tailored communication channels for each customer. This comprehensive approach not only aids in customer retention but also maximizes potential revenue growth across your entire client portfolio.

DataHawk consolidates all your marketplace information into one platform, converting it into straightforward actionable insights that help you enhance profitability and revenue across various channels. With a comprehensive end-to-end solution, integrated artificial intelligence, and user-friendly dashboards, ecommerce analytics becomes significantly more robust and accessible. You can work with the most extensive marketplace data available, all in one convenient location. Access to enriched historical data allows for improved trend tracking, threat avoidance, and opportunity identification. The platform is customizable and adaptable to meet unique business challenges and emerging requirements seamlessly. You can also integrate your preferred data and analytics tools into the system. Supported by seasoned ecommerce and data specialists, DataHawk understands the specific hurdles you encounter because they have experienced similar challenges themselves. Utilizing machine learning and AI, DataHawk continuously monitors data, assists in decision-making processes, identifies and prioritizes necessary actions, and even automates those actions to streamline operations. This comprehensive approach ensures you are always ahead in the competitive ecommerce landscape.

In today's fast-paced market, capturing customer attention is increasingly challenging, forcing marketing and customer experience (CX) leaders to drive growth while managing limited time and resources. Pendula harnesses the vast capabilities of generative AI to equip teams with the tools necessary to foster adaptive and impactful two-way customer interactions, ultimately inspiring, engaging, and retaining customers on a larger scale. Positioned as a central figure in the dialogue between businesses and their clientele worldwide, Pendula offers intuitive drag-and-drop features that enable teams to maximize their productivity. By facilitating intelligent action based on real-time data, Pendula activates your entire data ecosystem, making it a cornerstone of next-generation customer engagement and retention strategies. Through its innovative workflow studio, the only constraints are those of your imagination, allowing users to select data sources that highlight crucial moments for their customers, thus enhancing the overall experience. This approach not only streamlines communication but also cultivates deeper relationships between brands and their audiences.

The Azure Marketplace serves as an extensive digital storefront, granting users access to a vast array of certified, ready-to-use software applications, services, and solutions provided by both Microsoft and various third-party vendors. This platform allows businesses to easily explore, purchase, and implement software solutions directly within the Azure cloud ecosystem. It features a diverse selection of products, encompassing virtual machine images, AI and machine learning models, developer tools, security features, and applications tailored for specific industries. With various pricing structures, including pay-as-you-go, free trials, and subscriptions, Azure Marketplace makes the procurement process more straightforward and consolidates billing into a single Azure invoice. Furthermore, its seamless integration with Azure services empowers organizations to bolster their cloud infrastructure, streamline operational workflows, and accelerate their digital transformation goals effectively. As a result, businesses can leverage cutting-edge technology solutions to stay competitive in an ever-evolving market.

To effectively demonstrate the impact of marketing efforts, it is essential to have consistent and precise data across multiple platforms. In a multifaceted marketing environment characterized by team divisions and a rapidly changing marketing landscape, discrepancies often stem from differing naming conventions. Accutics acts as your cohesive and verified data language, providing transparent and dependable insights that propel your business forward. Marketing tracking is a collaborative effort, allowing campaign creators, activation teams, and partners to consistently access and utilize the most recent version of your taxonomy across all platforms. With straightforward workflows designed for standardized data, complexity is minimized. When conducting marketing and cost analyses, a diverse array of data from various sources is crucial. According to Forbes, a staggering 80% of the time spent to attain value goes towards cleaning this data. Essentially, the race is effectively finished before the data even arrives. By bypassing tedious manual tasks, you can directly access connected, standardized, and harmonized data with the help of Accutics, enabling your team to focus on strategic decision-making rather than data management. Embrace a streamlined approach to data that enhances your marketing effectiveness and accelerates growth.

Brev.io serves as an advanced operating system for business performance, utilizing artificial intelligence to optimize the execution of strategies and improve team cohesion. This platform empowers organizations with smart goal management features, which allow for the establishment and monitoring of both company-wide and team-specific objectives, complete with real-time updates on their progress. Furthermore, Brev.io synchronizes business activities by coordinating organizational reviews, meetings, and essential routines, ensuring sustained attention on crucial tasks. With its AI-enhanced dashboards, users receive timely alerts, actionable insights, and contextual information sourced from multiple systems, promoting more effective decision-making. By integrating effortlessly with pre-existing tools, Brev.io removes the hassle of manual data aggregation, enabling teams to focus on achieving their goals with greater efficiency. Ultimately, Brev.io not only simplifies the management process but also fosters a culture of accountability and continuous improvement within organizations.

Vanti’s manufacturing analytics stands out as a powerful tool for modern plant professionals. It integrates data from various manufacturing sources, resulting in an automated and user-friendly platform for generating manufacturing insights. By leveraging sophisticated natural language processing, Vanti translates intricate production patterns into straightforward insights that users can act upon. This approach streamlines the data exploration process, making it feel as effortless as having a chat. Users can engage with their data using simple, conversational queries, which enhances the overall experience. In addition, the platform automatically produces detailed visual representations like charts and highlights, enriching the understanding of the data. All of these features are seamlessly integrated into an easy-to-navigate user interface, ensuring that it remains accessible to individuals regardless of their technical background. With Vanti’s advanced analytics, manufacturing professionals can achieve a thorough comprehension of plant operations, ultimately leading to improved decision-making and productivity. This holistic understanding can significantly contribute to the optimization of manufacturing processes.

Agile Data Engine serves as a robust DataOps platform crafted to optimize the lifecycle of cloud-based data warehouses, encompassing their development, deployment, and management. This solution consolidates data modeling, transformation processes, continuous deployment, workflow orchestration, monitoring, and API integration into a unified SaaS offering. By leveraging a metadata-driven model, it automates the generation of SQL scripts and the workflows for data loading, significantly boosting efficiency and responsiveness in data operations. The platform accommodates a variety of cloud database systems such as Snowflake, Databricks SQL, Amazon Redshift, Microsoft Fabric (Warehouse), Azure Synapse SQL, Azure SQL Database, and Google BigQuery, thus providing considerable flexibility across different cloud infrastructures. Furthermore, its modular data product architecture and pre-built CI/CD pipelines ensure smooth integration and facilitate ongoing delivery, empowering data teams to quickly adjust to evolving business demands. Additionally, Agile Data Engine offers valuable insights and performance metrics related to the data platform, enhancing overall operational transparency and effectiveness. This capability allows organizations to make informed decisions based on real-time data analytics, further driving strategic initiatives.

Paradime is an advanced analytics platform powered by AI, aimed at improving data operations by speeding up dbt pipeline processes, lowering data warehouse expenses by more than 20%, and enhancing the return on investment for analytics. Its intelligent integrated development environment (IDE) simplifies dbt development, potentially leading to a coding time reduction of up to 83%, while its continuous integration and continuous deployment (CI/CD) functionalities accelerate pipeline delivery, diminishing the necessity for extra platform engineers. The Radar feature further refines data operations by offering automatic savings and boosting efficiency. With over 50 integrations, Paradime connects effortlessly with different applications to facilitate extensive analytics workflows. Tailored for enterprise usage, it guarantees secure, adaptable, and scalable solutions for large-scale data management. Compliance with GDPR and CCPA regulations is ensured through the implementation of appropriate technical and organizational safeguards to protect user data. Furthermore, regular vulnerability assessments and annual penetration tests are conducted to maintain the integrity and security of infrastructure systems, providing peace of mind to users. Overall, Paradime is not just a tool; it is a comprehensive solution designed to tackle the complexities of modern data analytics efficiently.

The Unity Catalog from Databricks stands out as the sole comprehensive and open governance framework tailored for data and artificial intelligence, integrated within the Databricks Data Intelligence Platform. This innovative solution enables organizations to effortlessly manage structured and unstructured data in various formats, in addition to machine learning models, notebooks, dashboards, and files on any cloud or platform. Data scientists, analysts, and engineers can securely navigate, access, and collaborate on reliable data and AI resources across diverse environments, harnessing AI capabilities to enhance efficiency and realize the full potential of the lakehouse architecture. By adopting this cohesive and open governance strategy, organizations can foster interoperability and expedite their data and AI projects, all while making regulatory compliance easier to achieve. Furthermore, users can quickly identify and categorize both structured and unstructured data, including machine learning models, notebooks, dashboards, and files, across all cloud platforms, ensuring a streamlined governance experience. This comprehensive approach not only simplifies data management but also encourages a collaborative culture among teams.

Google Cloud's Analytics Hub serves as a data exchange platform that empowers organizations to share data assets securely and efficiently beyond their internal boundaries, tackling issues related to data integrity and associated costs. Leveraging the robust scalability and adaptability of BigQuery, it enables users to create a comprehensive library encompassing both internal and external datasets, including distinctive data like Google Trends. The platform simplifies the publication, discovery, and subscription processes for data exchanges, eliminating the need for data transfers and enhancing the ease of access to data and analytical resources. Additionally, Analytics Hub ensures privacy-safe and secure data sharing through stringent governance practices, incorporating advanced security features and encryption protocols from BigQuery, Cloud IAM, and VPC Security Controls. By utilizing Analytics Hub, organizations can maximize the return on their data investment through effective data exchange strategies, while also fostering collaboration across different departments. Ultimately, this innovative platform enhances data-driven decision-making by providing seamless access to a wider array of data assets.

Precog is an advanced platform for data integration and transformation, crafted to enable businesses to easily access, prepare, and analyze data from various sources. Featuring a no-code interface alongside robust automation capabilities, Precog makes it straightforward to connect to multiple data sources and convert raw data into actionable insights without necessitating any technical skills. The platform also facilitates smooth integration with widely-used analytics tools, allowing users to accelerate their data-driven decision-making processes. By reducing complexity and providing exceptional flexibility, Precog empowers organizations to fully harness their data's potential, enhancing workflow efficiency and fostering innovation across different teams and sectors. Moreover, its user-friendly design ensures that even those without a technical background can leverage data effectively.

TROCCO is an all-in-one modern data platform designed to help users seamlessly integrate, transform, orchestrate, and manage data through a unified interface. It boasts an extensive array of connectors that encompass advertising platforms such as Google Ads and Facebook Ads, cloud services like AWS Cost Explorer and Google Analytics 4, as well as various databases including MySQL and PostgreSQL, and data warehouses such as Amazon Redshift and Google BigQuery. One of its standout features is Managed ETL, which simplifies the data import process by allowing bulk ingestion of data sources and offers centralized management for ETL configurations, thereby removing the necessity for individual setup. Furthermore, TROCCO includes a data catalog that automatically collects metadata from data analysis infrastructure, creating a detailed catalog that enhances data accessibility and usage. Users have the ability to design workflows that enable them to organize a sequence of tasks, establishing an efficient order and combination to optimize data processing. This capability allows for increased productivity and ensures that users can better capitalize on their data resources.

Pelanor is an innovative FinOps platform that leverages AI to cater to the needs of contemporary cloud environments, ensuring seamless integration across various cloud systems to illuminate organizational cloud expenditures. By providing contextual cost insights, it equips engineering, finance, and business leaders with the necessary tools to make well-informed choices. The platform identifies actionable opportunities by addressing major cost drivers and promptly resolving cost-related incidents before they worsen. Pelanor enhances understanding of how cloud spending correlates with business metrics, granting a holistic view of the factors influencing expenses and ways to optimize them. Its sophisticated cost allocation features promote accountability throughout the organization, allowing for accurate chargebacks. Furthermore, Pelanor's autonomous AI-driven approach simplifies cloud spending management and facilitates informed decision-making for leaders. The platform ensures comprehensive visibility into costs at intricate levels, such as individual queries or job executions, while offering tailored anomaly detection systems and detailed alerts. This level of granularity not only aids in precise financial planning but also helps organizations to proactively manage their cloud resources effectively.

Endear functions as a comprehensive platform for retail customer relationship management and clienteling, consolidating customer information such as preferences, past orders, and engagement history to enable tailored interactions in both online and in-store settings. It includes a variety of features like automated marketing campaigns, a centralized messaging inbox that accommodates email, text, and WhatsApp, sophisticated omnichannel analytics, a tool for creating shoppable stories, and resources for appointment scheduling and follow-ups. The platform also ensures smooth integration with numerous retail systems, allowing for real-time data updates and a holistic view of customer interactions. Users have reported impressive outcomes, achieving a 136-fold return on investment, a 72% boost in average order value, and a 55% increase in order frequency after adopting Endear's solutions. Furthermore, Endear's ability to enhance customer engagement has made it an invaluable asset for retailers looking to optimize their operations.

Lumi AI serves as a comprehensive analytics platform designed for enterprises, allowing users to delve into data and derive personalized insights through natural language inquiries, which removes the necessity for knowledge in SQL or Python. This platform provides a range of features, including self-service analytics, conversational analytics, customizable visual representations, knowledge management, smooth integrations, and strong security measures. It caters to various teams such as data analysis, supply chain management, procurement, sales, merchandising, and financial planning by delivering actionable insights that align with specific business terminology and metrics. Lumi AI's intelligent workflows can manage both straightforward and intricate queries, revealing underlying causes and enabling sophisticated analyses while effectively interpreting language tailored to business contexts. Additionally, Lumi AI seamlessly connects with multiple data sources and upholds enterprise-level security by processing data within the client's infrastructure and implementing advanced user permissions and query management, thereby fostering a secure and efficient analytics environment. This multifaceted approach ensures that organizations can harness their data to drive informed decision-making and strategic growth.

SDF serves as a robust platform for developers focused on data, improving SQL understanding across various organizations and empowering data teams to maximize their data's capabilities. It features a transformative layer that simplifies the processes of writing and managing queries, along with an analytical database engine that enables local execution and an accelerator that enhances transformation tasks. Additionally, SDF includes proactive measures for quality and governance, such as comprehensive reports, contracts, and impact analysis tools, to maintain data integrity and ensure compliance with regulations. By encapsulating business logic in code, SDF aids in the classification and management of different data types, thereby improving the clarity and sustainability of data models. Furthermore, it integrates effortlessly into pre-existing data workflows, accommodating multiple SQL dialects and cloud environments, and is built to scale alongside the evolving demands of data teams. The platform's open-core architecture, constructed on Apache DataFusion, not only promotes customization and extensibility but also encourages a collaborative environment for data development, making it an invaluable resource for organizations aiming to enhance their data strategies. Consequently, SDF plays a pivotal role in fostering innovation and efficiency within data management processes.

GigaSpaces eRAG (Enterprise Retrieval Augmented Generation) serves as an AI-driven platform aimed at improving decision-making within enterprises by facilitating natural language interactions with structured data sources, including relational databases. In contrast to conventional generative AI models, which often produce unreliable or "hallucinated" outputs when processing structured information, eRAG utilizes deep semantic reasoning to effectively convert user inquiries into SQL queries, retrieve pertinent data, and generate accurate, contextually relevant responses. This innovative methodology guarantees that the answers provided are based on real-time, reliable data, thereby reducing the risks linked to unverified AI-generated information. Furthermore, eRAG integrates smoothly with a variety of data sources, empowering organizations to maximize the capabilities of their current data infrastructure. In addition to its data integration features, eRAG includes built-in governance measures that track user interactions to ensure adherence to regulatory standards, thereby promoting responsible AI usage. This holistic approach not only enhances decision-making processes but also reinforces data integrity and compliance across the organization.

WeatherNext represents a suite of AI-driven models developed by Google DeepMind and Google Research, designed to deliver cutting-edge weather predictions. These advanced models surpass conventional physics-based approaches in both speed and efficiency, leading to enhanced reliability in forecasts. By improving the accuracy of weather predictions, these innovations could significantly aid in disaster preparedness, ultimately saving lives during severe weather scenarios and bolstering the dependability of renewable energy sources and supply chains. WeatherNext Graph stands out by providing more precise and efficient deterministic forecasts than existing systems, producing a single forecast for each specified time and location with a 6-hour temporal resolution and a 10-day lead time. In addition, WeatherNext Gen excels at generating ensemble forecasts that outshine the current predominant models, thereby equipping decision-makers with a clearer understanding of weather uncertainties and the associated risks of extreme weather conditions. This leap in forecasting capability promises to transform how we respond to and manage the impacts of climate variability.

Tailor is an innovative, headless ERP platform that prioritizes low-code development, allowing businesses to swiftly and effectively create customized backend solutions. Its modular applications can be tailored to meet specific operational requirements, enhancing adaptability. Featuring an open API-first structure, Tailor facilitates smooth integration with popular tools such as Shopify, ShipStation, Loop, and QuickBooks, promoting cohesive business operations. The platform enables the rapid creation of APIs from schemas and offers support for integrating business logic via pipelines and functions, while also simplifying workflow management through event triggers and state machines. By decoupling backend data processing from the frontend user interface, Tailor delivers exceptional flexibility and scalability to users. This architectural design empowers organizations to configure their ERP systems according to distinct processes and needs, breaking free from the conventional constraints of traditional software. Ultimately, Tailor stands out by providing a versatile framework that evolves alongside a business's changing demands.

Myriade is an innovative platform that leverages artificial intelligence to simplify the process of data analysis, allowing users to engage with their datasets using everyday language queries. This user-friendly tool caters to individuals with both technical expertise and those unfamiliar with coding, enabling them to execute intricate data tasks without the need for SQL syntax. Users can pose broad inquiries or seek particular data formats, while Myriade manages the complex data processing behind the scenes. Additionally, it offers features for data auditing, helping to detect problems such as duplicates, inconsistencies, and absent values, while delivering clear and understandable results. Functioning in accordance with user-established governance frameworks, it prioritizes data security and compliance. By automating mundane tasks and making data exploration more accessible, Myriade significantly boosts efficiency and enhances decision-making across a wide range of sectors. Ultimately, this platform is a game-changer for organizations seeking to harness the power of their data while ensuring accuracy and security.

Micromerce is a versatile cloud software platform designed to enhance and automate the comprehensive processes involved in onboarding clients or partners, data migration, enablement, and ongoing support. By offering an all-in-one onboarding portal, back-office management system, and an automation layer, it allows organizations to efficiently handle, monitor, and streamline every step of the onboarding journey, from the sales hand-off to the activation phase, while providing clients with a transparent, step-by-step progression and minimizing the need for manual coordination. Additionally, for data migration tasks, it features a cohesive toolkit that accommodates various source formats, automates transformation and mapping, includes validation dashboards, and ensures complete visibility into the quality and status of the migration process. In terms of support and enablement, Micromerce incorporates AI-driven workflows, mechanisms to reduce ticket creation, integrated contextual assistance, and insightful analytics, all aimed at lessening the support burden and expediting customer activation. Ultimately, this platform empowers organizations to enhance their operational efficiency and improve client experiences significantly.

Mondoo serves as a comprehensive platform for security and compliance, aiming to significantly mitigate critical vulnerabilities within businesses by merging complete asset visibility, risk assessment, and proactive remediation. It catalogs a thorough inventory of all types of assets, including cloud services, on-premises systems, SaaS applications, endpoints, network devices, and developer pipelines, while consistently evaluating their configurations, vulnerabilities, and interrelations. By incorporating business relevance, such as the importance of an asset, potential exploitation risks, and deviations from established policies, it effectively scores and identifies the most pressing threats. Users are provided with options for guided remediation through pre-tested code snippets and playbooks, or they can opt for autonomous remediation facilitated by orchestration pipelines, which include features for tracking, ticket generation, and verification. Additionally, Mondoo allows for the integration of third-party findings, works seamlessly with DevSecOps toolchains including CI/CD, Infrastructure as Code (IaC), and container registries, and boasts over 300 compliance frameworks and benchmark templates to ensure a thorough approach to security. Its robust functionality not only enhances organizational resilience but also streamlines compliance processes, offering a holistic solution for modern security challenges.

Ledge is a finance operations platform driven by AI, aimed at assisting finance teams in streamlining and expediting their month-end closing processes and managing high-volume operational tasks. Instead of relying on spreadsheets for each cycle, Ledge’s smart agents take the initiative to automatically fill in reconciliations, journal entries, cash application matches, and working papers by utilizing data from interconnected bank, ERP, billing, and payment processing systems, ensuring that when your team accesses the checklist, a significant portion of the groundwork is already laid. It enables ongoing account reconciliation, daily cash application, and features a close checklist that functions like an intelligent workbench; pre-completed tasks simplify the process, exceptions are highlighted, approvals are monitored, and audit trails connect every item back to the original transactions. Consequently, finance teams can transition from a reactive, last-minute rush at the end of the month to a more proactive and insightful review process that is context-rich, robust in controls, satisfying for auditors, and conducive to timely decision-making. This shift not only enhances efficiency but also contributes to a more strategic approach to finance management.

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.