Alternatives to Data Preparer

The most accurate, complete, and timely data provides the best insight. Minitab Connect empowers data users across the enterprise with self service tools to transform diverse data into a network of data pipelines that feed analytics initiatives, foster collaboration and foster organizational-wide collaboration. Users can seamlessly combine and explore data from various sources, including databases, on-premise and cloud apps, unstructured data and spreadsheets. Automated workflows make data integration faster and provide powerful data preparation tools that allow for transformative insights. Data integration tools that are intuitive and flexible allow users to connect and blend data from multiple sources such as data warehouses, IoT devices and cloud storage.

IBM® SPSS® Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. The IBM® SPSS® software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make SPSS accessible to users of all skill levels. What’s more, it’s suitable for projects of all sizes and levels of complexity, and can help you find new opportunities, improve efficiency and minimize risk.

Quickly prepare data to provide trusted insights across the organization. Business analysts and data scientists spend too much time cleaning out data rather than analyzing it. Talend Data Preparation is a self-service, browser-based tool that allows you to quickly identify errors and create rules that can be reused and shared across large data sets. With our intuitive user interface and self-service data preparation/curation functionality, anyone can perform data profiling, cleansing, enriching and enrichment in real time. Users can share prepared datasets and curated data, and embed data preparations in batch, bulk, or live data integration scenarios. Talend allows you to transform ad-hoc analysis and data enrichment jobs into fully managed, reusable process. You can use any data source, including Teradata and AWS, Salesforce and Marketo, to operationalize data preparation. Always using the most recent datasets. Talend Data Preparation gives you control over data governance.

With more than three decades of expertise in data discovery and transformation, Altair Monarch stands out as an industry pioneer, providing the quickest and most user-friendly method for extracting data from a variety of sources. Users can easily create workflows without any coding knowledge, allowing for collaboration in transforming challenging data formats like PDFs, spreadsheets, text files, as well as data from big data sources and other structured formats into organized rows and columns. Regardless of whether the data is stored locally or in the cloud, Altair Monarch streamlines preparation tasks, leading to faster outcomes and delivering reliable data that supports informed business decision-making. This robust solution empowers organizations to harness their data effectively, ultimately driving growth and innovation. For more information about Altair Monarch or to access a free version of its enterprise software, please click the links provided below.

Zoho DataPrep is an advanced self-service data preparation software that helps organizations prepare data by allowing import from a variety of sources, automatically identifying errors, discovering data patterns, transforming and enriching data and scheduling export all without the need for coding.

Amazon SageMaker Data Wrangler significantly shortens the data aggregation and preparation timeline for machine learning tasks from several weeks to just minutes. This tool streamlines data preparation and feature engineering, allowing you to execute every phase of the data preparation process—such as data selection, cleansing, exploration, visualization, and large-scale processing—through a unified visual interface. You can effortlessly select data from diverse sources using SQL, enabling rapid imports. Following this, the Data Quality and Insights report serves to automatically assess data integrity and identify issues like duplicate entries and target leakage. With over 300 pre-built data transformations available, SageMaker Data Wrangler allows for quick data modification without the need for coding. After finalizing your data preparation, you can scale the workflow to encompass your complete datasets, facilitating model training, tuning, and deployment in a seamless manner. This comprehensive approach not only enhances efficiency but also empowers users to focus on deriving insights from their data rather than getting bogged down in the preparation phase.

Trifacta's Cloud Dataprep is an advanced data service designed for the visual exploration, cleansing, and preparation of both structured and unstructured datasets, facilitating analysis, reporting, and machine learning tasks. Its serverless architecture allows it to operate at any scale, eliminating the need for users to manage or deploy infrastructure. With each interaction in the user interface, the system intelligently suggests and forecasts your next ideal data transformation, removing the necessity for manual coding. As a partner service of Trifacta, Cloud Dataprep utilizes their renowned data preparation technology to enhance functionality. Google collaborates closely with Trifacta to ensure a fluid user experience, which bypasses the requirement for initial software installations, separate licensing fees, or continuous operational burdens. Fully managed and capable of scaling on demand, Cloud Dataprep effectively adapts to your evolving data preparation requirements, allowing you to concentrate on your analytical pursuits. This innovative service ultimately empowers users to streamline their workflows and maximize productivity.

MassFeeds serves as a specialized tool for data preparation that automates and expedites the organization of data originating from diverse sources and formats. This innovative solution is crafted to enhance and streamline the data preparation workflow by generating automated data pipelines specifically tailored for marketing mix models. As the volume of data generation and collection continues to surge, organizations can no longer rely on labor-intensive manual processes for data preparation to keep pace. MassFeeds empowers clients to efficiently manage data from various origins and formats through a smooth, automated, and easily adjustable approach. By utilizing MassFeeds’ suite of processing pipelines, data is transformed into a standardized format, ensuring effortless integration into modeling systems. This tool helps eliminate the risks associated with manual data preparation, which can often lead to human errors. Moreover, it broadens access to data processing for a larger range of users and boasts the potential to reduce processing times by over 40% by automating repetitive tasks, ultimately leading to more efficient operations across the board. With MassFeeds, organizations can experience a significant boost in their data management capabilities.

DataPreparator is a complimentary software application aimed at facilitating various aspects of data preparation, also known as data preprocessing, within the realms of data analysis and mining. This tool provides numerous functionalities to help you explore and ready your data before engaging in analysis or mining activities. It encompasses a range of features including data cleaning, discretization, numerical adjustments, scaling, attribute selection, handling missing values, addressing outliers, conducting statistical analyses, visualizations, balancing, sampling, and selecting specific rows, among other essential tasks. The software allows users to access data from various sources such as text files, relational databases, and Excel spreadsheets. It is capable of managing substantial data volumes effectively, as datasets are not retained in computer memory, except for Excel files and the result sets from certain databases that lack data streaming support. As a standalone tool, it operates independently of other applications, boasting a user-friendly graphical interface. Additionally, it enables operator chaining to form sequences of preprocessing transformations and allows for the creation of a model tree specifically for test or execution data, thereby enhancing the overall data preparation process. Ultimately, DataPreparator serves as a versatile and efficient resource for those engaged in data-related tasks.

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.

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.

Elevate your AI and data initiatives by harnessing the power of premium data. At Synthesized, we fully realize the potential of data by utilizing advanced AI to automate every phase of data provisioning and preparation. Our innovative platform ensures adherence to privacy and compliance standards, thanks to the synthesized nature of the data it generates. We offer software solutions for crafting precise synthetic data, enabling organizations to create superior models at scale. By partnering with Synthesized, businesses can effectively navigate the challenges of data sharing. Notably, 40% of companies investing in AI struggle to demonstrate tangible business benefits. Our user-friendly platform empowers data scientists, product managers, and marketing teams to concentrate on extracting vital insights, keeping you ahead in a competitive landscape. Additionally, the testing of data-driven applications can present challenges without representative datasets, which often results in complications once services are launched. By utilizing our services, organizations can significantly mitigate these risks and enhance their operational efficiency.

Trifacta offers an efficient solution for preparing data and constructing data pipelines in the cloud. By leveraging visual and intelligent assistance, it enables users to expedite data preparation, leading to quicker insights. Data analytics projects can falter due to poor data quality; therefore, Trifacta equips you with the tools to comprehend and refine your data swiftly and accurately. It empowers users to harness the full potential of their data without the need for coding expertise. Traditional manual data preparation methods can be tedious and lack scalability, but with Trifacta, you can create, implement, and maintain self-service data pipelines in mere minutes instead of months, revolutionizing your data workflow. This ensures that your analytics projects are not only successful but also sustainable over time.

DataTracks ensures that you consistently meet your reporting obligations promptly and efficiently. We provide innovative software solutions specifically designed to assist you in crafting your compliance reports with ease. Once your financial records are finalized, your report can be generated almost immediately. Automated data transfer occurs, allowing numbers to seamlessly populate the necessary fields within the reports. Your team's primary responsibility will be to verify the figures and develop the accompanying narratives independently. Essentially, you will only need to review the output rather than engage in the preparation process. This approach enables a hands-off yet mindful preparation of compliance documents, all at an affordable price. You can rest easy, knowing that your reports will align with your financial records. This holds true even when dealing with extensive amounts of information, as is often the case for national banks required to report to the Federal Reserve across various jurisdictions. By establishing a robust data model and creating mappings from your enterprise's sources, you can ensure that data will be automatically integrated into the model as soon as the sources are ready. Furthermore, the data can be represented in the report as it is defined in the data model or calculated from the sources within that model, providing flexibility and accuracy in your reporting process. Ultimately, our solutions not only simplify your compliance reporting but also enhance the overall efficiency of your financial operations.

Power Query provides a user-friendly solution for connecting, extracting, transforming, and loading data from a variety of sources. Acting as a robust engine for data preparation and transformation, Power Query features a graphical interface that simplifies the data retrieval process and includes a Power Query Editor for implementing necessary changes. The versatility of the engine allows it to be integrated across numerous products and services, meaning the storage location of the data is determined by the specific application of Power Query. This tool enables users to efficiently carry out the extract, transform, and load (ETL) processes for their data needs. With Microsoft’s Data Connectivity and Data Preparation technology, users can easily access and manipulate data from hundreds of sources in a straightforward, no-code environment. Power Query is equipped with support for a multitude of data sources through built-in connectors, generic interfaces like REST APIs, ODBC, OLE, DB, and OData, and even offers a Power Query SDK for creating custom connectors tailored to individual requirements. This flexibility makes Power Query an indispensable asset for data professionals seeking to streamline their workflows.

Coheris Spad, developed by ChapsVision, serves as a self-service data analysis platform tailored for Data Scientists across diverse sectors and industries. This tool is widely recognized and incorporated into numerous prestigious French and international educational institutions, solidifying its esteemed status among Data Scientists. Coheris Spad offers an extensive methodological framework that encompasses a wide array of data analysis techniques. Users benefit from a friendly and intuitive interface that equips them with the necessary capabilities to explore, prepare, and analyze their data effectively. The platform supports connections to multiple data sources for efficient data preparation. Additionally, it boasts a comprehensive library of data processing functions, including filtering, stacking, aggregation, transposition, joining, handling of missing values, identification of unusual distributions, statistical or supervised recoding, and formatting options, empowering users to perform thorough and insightful analyses. Furthermore, the flexibility and versatility of Coheris Spad make it an invaluable asset for both novice and experienced data practitioners.

Kylo serves as an open-source platform designed for effective management of enterprise-level data lakes, facilitating self-service data ingestion and preparation while also incorporating robust metadata management, governance, security, and best practices derived from Think Big's extensive experience with over 150 big data implementation projects. It allows users to perform self-service data ingestion complemented by features for data cleansing, validation, and automatic profiling. Users can manipulate data effortlessly using visual SQL and an interactive transformation interface that is easy to navigate. The platform enables users to search and explore both data and metadata, examine data lineage, and access profiling statistics. Additionally, it provides tools to monitor the health of data feeds and services within the data lake, allowing users to track service level agreements (SLAs) and address performance issues effectively. Users can also create batch or streaming pipeline templates using Apache NiFi and register them with Kylo, thereby empowering self-service capabilities. Despite organizations investing substantial engineering resources to transfer data into Hadoop, they often face challenges in maintaining governance and ensuring data quality, but Kylo significantly eases the data ingestion process by allowing data owners to take control through its intuitive guided user interface. This innovative approach not only enhances operational efficiency but also fosters a culture of data ownership within organizations.

Toad® Data Point is a versatile self-service data integration solution designed to streamline the processes of data access, preparation, and provisioning across multiple platforms. With its extensive data connectivity options, users can easily integrate data from a variety of sources, such as SQL and NoSQL databases, ODBC, as well as business intelligence tools and Microsoft Excel or Access. The application features a user-friendly Workbook interface that allows business users to build visual queries and automate workflows with ease. Regardless of your technical expertise, you can create queries without the need to write or modify SQL code, although those familiar with SQL will appreciate the intuitive graphical interface that enhances the creation of relationships and the visualization of queries. Toad Data Point Professional accommodates different user preferences by offering two distinct interfaces: one that emphasizes traditional flexibility and a wide range of functionalities. Additionally, this powerful tool ensures that data profiling tasks are efficiently managed, allowing users to achieve consistent and reliable results across their projects.

Paxata is an innovative, user-friendly platform that allows business analysts to quickly ingest, analyze, and transform various raw datasets into useful information independently, significantly speeding up the process of generating actionable business insights. Besides supporting business analysts and subject matter experts, Paxata offers an extensive suite of automation tools and data preparation features that can be integrated into other applications to streamline data preparation as a service. The Paxata Adaptive Information Platform (AIP) brings together data integration, quality assurance, semantic enhancement, collaboration, and robust data governance, all while maintaining transparent data lineage through self-documentation. Utilizing a highly flexible multi-tenant cloud architecture, Paxata AIP stands out as the only contemporary information platform that operates as a multi-cloud hybrid information fabric, ensuring versatility and scalability in data handling. This unique approach not only enhances efficiency but also fosters collaboration across different teams within an organization.

Dataiku serves as a sophisticated platform for data science and machine learning, aimed at facilitating teams in the construction, deployment, and management of AI and analytics projects on a large scale. It enables a diverse range of users, including data scientists and business analysts, to work together in developing data pipelines, crafting machine learning models, and preparing data through various visual and coding interfaces. Supporting the complete AI lifecycle, Dataiku provides essential tools for data preparation, model training, deployment, and ongoing monitoring of projects. Additionally, the platform incorporates integrations that enhance its capabilities, such as generative AI, thereby allowing organizations to innovate and implement AI solutions across various sectors. This adaptability positions Dataiku as a valuable asset for teams looking to harness the power of AI effectively.

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.

Enhance your analytics, data migration, and master data management (MDM) projects with the SAP Agile Data Preparation tool. This application allows you to efficiently convert your data into actionable insights, streamlining your access to and understanding of data shapes, thus increasing your productivity and agility beyond your expectations. The Cloud Service's Usage Metric is measured by the number of Users, defined as individuals who prepare, manage, and oversee data sets or perform data stewardship tasks within the service. Each subscription requires customers to purchase an annual foundation subscription, which comes in increments of 64 GB of memory per year, with a maximum capacity of 512 GB annually. This structured approach ensures that organizations can scale their data needs effectively while maintaining high performance and efficiency.

IFTAPlus is the fastest, easiest way to prepare your fuel tax return. In just a few simple steps, you ensure your IFTA compliance is met and maintained. With IFTAPlus, you can generate your IFTA returns in minutes. Use IFTAPlus to automatically calculate your fuel tax for all jurisdictions and print your completed return. IFTAPlus saves time, improves data accuracy, and helps drivers to avoid penalties. Try IFTAPlus now to learn how much simpler IFTA can be.

Oracle Big Data Preparation Cloud Service is a comprehensive managed Platform as a Service (PaaS) solution that facilitates the swift ingestion, correction, enhancement, and publication of extensive data sets while providing complete visibility in a user-friendly environment. This service allows for seamless integration with other Oracle Cloud Services, like the Oracle Business Intelligence Cloud Service, enabling deeper downstream analysis. Key functionalities include profile metrics and visualizations, which become available once a data set is ingested, offering a visual representation of profile results and summaries for each profiled column, along with outcomes from duplicate entity assessments performed on the entire data set. Users can conveniently visualize governance tasks on the service's Home page, which features accessible runtime metrics, data health reports, and alerts that keep them informed. Additionally, you can monitor your transformation processes and verify that files are accurately processed, while also gaining insights into the complete data pipeline, from initial ingestion through to enrichment and final publication. The platform ensures that users have the tools needed to maintain control over their data management tasks effectively.

The fundamental technology that powers contemporary solutions for data integration and management is designed to swiftly link various structured and unstructured data sources. It allows for the comprehensive cataloging of your entire data environment, ensuring that data remains within its original sources and is retrieved as needed, eliminating the requirement for duplicate copies. Users can construct data models tailored to their needs, even when drawing from multiple data sources, while also concealing the intricacies of back-end systems from end users. The virtual model can be securely accessed and utilized through standard SQL alongside other formats such as REST, SOAP, and OData, promoting easy access to diverse data types. It features complete data integration and modeling capabilities, along with an Active Data Catalog that enables self-service for data and metadata exploration and preparation. Furthermore, it incorporates robust data security and governance measures, ensures rapid and intelligent execution of data queries, and provides real-time data delivery in various formats. The system also supports the establishment of data marketplaces and effectively decouples business applications from data systems, paving the way for more informed, data-driven decision-making strategies. This innovative approach enhances the overall agility and responsiveness of organizations in managing their data assets.

The data refinery tool, which can be accessed through IBM Watson® Studio and Watson™ Knowledge Catalog, significantly reduces the time spent on data preparation by swiftly converting extensive volumes of raw data into high-quality, usable information suitable for analytics. Users can interactively discover, clean, and transform their data using more than 100 pre-built operations without needing any coding expertise. Gain insights into the quality and distribution of your data with a variety of integrated charts, graphs, and statistical tools. The tool automatically identifies data types and business classifications, ensuring accuracy and relevance. It also allows easy access to and exploration of data from diverse sources, whether on-premises or cloud-based. Data governance policies set by professionals are automatically enforced within the tool, providing an added layer of compliance. Users can schedule data flow executions for consistent results and easily monitor those results while receiving timely notifications. Furthermore, the solution enables seamless scaling through Apache Spark, allowing transformation recipes to be applied to complete datasets without the burden of managing Apache Spark clusters. This feature enhances efficiency and effectiveness in data processing, making it a valuable asset for organizations looking to optimize their data analytics capabilities.

Demonstrate your commitment to your employees by offering a distinctive dining experience that caters specifically to their preferences. With our app, we empower each employee to make their own meal choices, creating a personalized lunch experience that promotes well-being. Caring for your employees has never been simpler, as our service is designed to meet the unique requirements of your office. They can select from a diverse, rotating menu of wholesome, chef-prepared dishes, ensuring that their dining experience is both enjoyable and nutritious. Our Michelin-Star chefs, who are ServSafe™️ certified, prioritize food safety alongside exceptional quality, providing peace of mind with every meal. We source ingredients from responsible suppliers and all meals are crafted in USDA-certified commercial kitchens, guaranteeing that safety and professionalism are at the forefront. You can trust that from the initial concept of the menu to the prompt delivery right to your desk or doorstep, every meal is prepared with the highest standards of quality and care, making it an impressive perk for your team.

In today’s constantly connected economy, the volume of data generated is skyrocketing. It’s crucial to adopt a data-driven approach that enables rapid responses and innovations to stay ahead of your rivals. Imagine if you could streamline the processes of data preparation and provisioning. Consider the benefits of conducting database analysis with ease and sharing valuable data insights among analysts across various teams. What if achieving all of this could lead to time savings of up to 40%? When paired with Toad® Data Point, Toad Intelligence Central serves as a budget-friendly, server-based solution that empowers your organization. It enhances collaboration among Toad users by providing secure and governed access to SQL scripts, project artifacts, provisioned data, and automation workflows. Furthermore, it allows for seamless abstraction of both structured and unstructured data sources through advanced connectivity, enabling the creation of refreshable datasets accessible to any Toad user. Ultimately, this integration not only optimizes efficiency but also fosters a culture of data-driven decision-making within your organization.

BDB is an advanced platform for data analytics and business intelligence that excels in extracting valuable insights from your data. It can be implemented both in cloud environments and on-premises. With a unique microservices architecture, it incorporates components for Data Preparation, Predictive Analytics, Pipelines, and Dashboard design, enabling tailored solutions and scalable analytics across various sectors. Thanks to its robust NLP-driven search functionality, users can harness the potential of data seamlessly across desktops, tablets, and mobile devices. BDB offers numerous integrated data connectors, allowing it to interface with a wide array of popular data sources, applications, third-party APIs, IoT devices, and social media platforms in real-time. It facilitates connections to relational databases, big data systems, FTP/SFTP servers, flat files, and web services, effectively managing structured, semi-structured, and unstructured data. Embark on your path to cutting-edge analytics today, and discover the transformative power of BDB for your organization.

Azure Synapse represents the advanced evolution of Azure SQL Data Warehouse. It is a comprehensive analytics service that integrates enterprise data warehousing with Big Data analytics capabilities. Users can query data flexibly, choosing between serverless or provisioned resources, and can do so at scale. By merging these two domains, Azure Synapse offers a cohesive experience for ingesting, preparing, managing, and delivering data, catering to the immediate requirements of business intelligence and machine learning applications. This integration enhances the efficiency and effectiveness of data-driven decision-making processes.

No per-connection charges for setting up all the automated connections that you need. No per-connection fees for all the automated connections that you need. No technical expertise is required to set up and scale your cloud data warehouse or processing operations. Conversionomics allows you to make mistakes and ask hard questions about your data. You have the power to do whatever you want with your data. Conversionomics creates complex SQL to combine source data with lookups and table relationships. You can use preset joins and common SQL, or create your own SQL to customize your query. Conversionomics is a data aggregation tool with a simple interface that makes it quick and easy to create data API sources. You can create interactive dashboards and reports from these sources using our templates and your favorite data visualization tools.

For more four decades, IRI CoSort has defined the state-of-the-art in big data sorting and transformation technology. From advanced algorithms to automatic memory management, and from multi-core exploitation to I/O optimization, there is no more proven performer for production data processing than CoSort. CoSort was the first commercial sort package developed for open systems: CP/M in 1980, MS-DOS in 1982, Unix in 1985, and Windows in 1995. Repeatedly reported to be the fastest commercial-grade sort product for Unix. CoSort was also judged by PC Week to be the "top performing" sort on Windows. CoSort was released for CP/M in 1978, DOS in 1980, Unix in the mid-eighties, and Windows in the early nineties, and received a readership award from DM Review magazine in 2000. CoSort was first designed as a file sorting utility, and added interfaces to replace or convert sort program parameters used in IBM DataStage, Informatica, MF COBOL, JCL, NATURAL, SAS, and SyncSort. In 1992, CoSort added related manipulation functions through a control language interface based on VMS sort utility syntax, which evolved through the years to handle structured data integration and staging for flat files and RDBs, and multiple spinoff products.

Datuum is an AI-powered data integration tool that offers a unique solution for organizations looking to streamline their data integration process. With our pre-trained AI engine, Datuum simplifies customer data onboarding by allowing for automated integration from various sources without coding. This reduces data preparation time and helps establish resilient connectors, ultimately freeing up time for organizations to focus on generating insights and improving the customer experience. At Datuum, we have over 40 years of experience in data management and operations, and we've incorporated our expertise into the core of our product. Our platform is designed to address the critical challenges faced by data engineers and managers while being accessible and user-friendly for non-technical specialists. By reducing up to 80% of the time typically spent on data-related tasks, Datuum can help organizations optimize their data management processes and achieve more efficient outcomes.

Efficiently ingest, prepare, and manage data pipelines at scale specifically designed for cloud-based AI and analytics. The extensive data engineering suite from Informatica equips users with all the essential tools required to handle large-scale data engineering tasks that drive AI and analytical insights, including advanced data integration, quality assurance, streaming capabilities, data masking, and preparation functionalities. With the help of CLAIRE®-driven automation, users can quickly develop intelligent data pipelines, which feature automatic change data capture (CDC), allowing for the ingestion of thousands of databases and millions of files alongside streaming events. This approach significantly enhances the speed of achieving return on investment by enabling self-service access to reliable, high-quality data. Gain genuine, real-world perspectives on Informatica's data engineering solutions from trusted peers within the industry. Additionally, explore reference architectures designed for sustainable data engineering practices. By leveraging AI-driven data engineering in the cloud, organizations can ensure their analysts and data scientists have access to the dependable, high-quality data essential for transforming their business operations effectively. Ultimately, this comprehensive approach not only streamlines data management but also empowers teams to make data-driven decisions with confidence.

Based in Indonesia, our company specializes in managing data efficiently. We offer both a product and consulting services tailored to meet diverse needs. The name Delman is a fusion of "Data Excavation Learning and Management," symbolizing our commitment to delivering data science solutions centered around data preparation. Our goal is to facilitate digital transformation by seamlessly integrating and managing countless data sources with greater efficiency. We have successfully served a variety of sectors, including enterprises, conglomerates, and government entities in Indonesia. Our team possesses a robust blend of technical and operational expertise, establishing a unique presence within the country's deep tech ecosystem. We are confident that by adopting international best practices, we can create the most advanced and effective tools in the market. At Delman, we believe that the synergy of diverse talents and experiences is key to providing exceptional solutions that drive success. By constantly innovating and adapting, we aim to stay ahead of the curve in the rapidly evolving data landscape.

Verodat, a SaaS-platform, gathers, prepares and enriches your business data, then connects it to AI Analytics tools. For results you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests for suppliers. Monitors data workflows to identify bottlenecks and resolve issues. The audit trail is generated to prove quality assurance for each data row. Validation & governance can be customized to your organization. Data preparation time is reduced by 60% allowing analysts to focus more on insights. The central KPI Dashboard provides key metrics about your data pipeline. This allows you to identify bottlenecks and resolve issues, as well as improve performance. The flexible rules engine allows you to create validation and testing that suits your organization's requirements. It's easy to integrate your existing tools with the out-of-the box connections to Snowflake and Azure.

Tableau Prep revolutionizes traditional data preparation within organizations by offering an intuitive visual interface for data merging, shaping, and cleansing, enabling analysts and business users to initiate their analysis more swiftly. It consists of two key products: Tableau Prep Builder, designed for creating data flows, and Tableau Prep Conductor, which facilitates the scheduling, monitoring, and management of those flows throughout the organization. Users can leverage three different views to examine row-level details, column profiles, and the overall data preparation workflow, allowing them to choose the most appropriate view based on their specific tasks. Editing a value is as simple as selecting it and making changes directly, while modifications to join types yield immediate results, ensuring real-time feedback even with extensive datasets. Every action taken allows for instant visualization of data changes, regardless of the volume, and Tableau Prep Builder empowers users to reorder steps and experiment freely without risk. This flexibility fosters a more dynamic data preparation process, encouraging innovation and efficiency in data handling.

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.

Are you considering transitioning to a new application? It's crucial to identify what data you plan to transfer and the method for integrating it into the new system. While most applications offer tools to import essential data such as open items, customers, and products, they often fall short when it comes to handling historical data. It's important to strategize how to manage the discrepancies between datasets and to determine the business's approach to historical information. Fortunately, DataBridger is here to guide you through a seamless migration process. Its exceptional transformation features accommodate structural variations, while additional functionalities address relationship discrepancies. With integrated data validation techniques and options for incremental migration, you can prepare your data efficiently. Whether you choose to move all or part of the historical data, you can create an environment for archiving that allows for easy retrieval if necessary. Plus, the platform requires no coding and is simple to master, with expert support readily available to assist you. By leveraging these tools, your migration journey can be both smooth and efficient.

Invenis serves as a robust platform for data analysis and mining, enabling users to easily clean, aggregate, and analyze their data while scaling efforts to enhance decision-making processes. It offers capabilities such as data harmonization, preparation, cleansing, enrichment, and aggregation, alongside powerful predictive analytics, segmentation, and recommendation features. By connecting seamlessly to various data sources like MySQL, Oracle, Postgres SQL, and HDFS (Hadoop), Invenis facilitates comprehensive analysis of diverse file formats, including CSV and JSON. Users can generate predictions across all datasets without requiring coding skills or a specialized team of experts, as the platform intelligently selects the most suitable algorithms based on the specific data and use cases presented. Additionally, Invenis automates repetitive tasks and recurring analyses, allowing users to save valuable time and fully leverage the potential of their data. Collaboration is also enhanced, as teams can work together, not only among analysts but across various departments, streamlining decision-making processes and ensuring that information flows efficiently throughout the organization. This collaborative approach ultimately empowers businesses to make better-informed decisions based on timely and accurate data insights.

Leverage cutting-edge cloud analytics and data science technologies to examine healthcare data and create innovative AI applications. Develop evidence-based care models that can enhance patient experiences while also boosting clinician satisfaction. Furthermore, aim to lower healthcare costs and improve overall population health outcomes. The Oracle Autonomous Data Warehouse simplifies the complexities associated with managing a data warehouse and creating data-driven applications, addressing critical aspects such as database management and security. You can effortlessly store, manage, and utilize your data through a fully integrated suite of data ingestion, preparation, and machine learning (ML) tools. Transform your insights into actionable evidence-based care and precision medicine frameworks. Equip executives, analysts, and IT personnel with the ability to access business intelligence from any location, whether in an office setting or at healthcare facilities. Accelerate your analytical processes with automated data preparation and embedded ML capabilities, ensuring a streamlined approach to data-driven decision-making. By utilizing these resources effectively, organizations can foster a culture of continuous improvement in healthcare delivery.

Oracle Analytics is a comprehensive platform designed for all analytics user roles, integrating AI and machine learning across the board to boost productivity and enable smarter business decisions. Whether you opt for Oracle Analytics Cloud, our cloud-native service, or Oracle Analytics Server, our on-premises solution, you can ensure robust security and governance without compromise.

MatterControl is a comprehensive and free open-source software that enables users to design, prepare, and oversee their 3D printing projects seamlessly. It boasts robust design and preparation features along with a variety of templates in the Design Apps that can inspire your creative process. You can manage and personalize each 3D print project all within a single application, allowing for unique customization. MatterControl stands out as the pioneering software for 3D printing by integrating design, preparation, and printing functionalities into one cohesive tool. This innovative platform empowers users to tailor each design, ensuring that every 3D print reflects their individuality. With its powerful capabilities, MatterControl not only supports personal projects but also facilitates modifications to shared online files, making it an essential resource for both novice and experienced users alike. Overall, MatterControl enhances the entire 3D printing experience, fostering creativity and efficiency in every step of the process.

Amazon SageMaker Canvas democratizes access to machine learning by equipping business analysts with an intuitive visual interface that enables them to independently create precise ML predictions without needing prior ML knowledge or coding skills. This user-friendly point-and-click interface facilitates the connection, preparation, analysis, and exploration of data, simplifying the process of constructing ML models and producing reliable predictions. Users can effortlessly build ML models to conduct what-if scenarios and generate both individual and bulk predictions with minimal effort. The platform enhances teamwork between business analysts and data scientists, allowing for the seamless sharing, reviewing, and updating of ML models across different tools. Additionally, users can import ML models from various sources and obtain predictions directly within Amazon SageMaker Canvas. With this tool, you can draw data from diverse origins, specify the outcomes you wish to forecast, and automatically prepare as well as examine your data, enabling a swift and straightforward model-building experience. Ultimately, this capability allows users to analyze their models and yield accurate predictions, fostering a more data-driven decision-making culture across organizations.

Leica Geosystems stands as the foremost authority in reality capture software, having developed innovative products that assist users in the efficient and professional capture, preparation, management, and analysis of reality capture data. From the initial stages of capturing 3D data to the creation of intricate 3D models, analysis, and collaboration with clients, the software from Leica Geosystems empowers users throughout every phase of their workflow with remarkable ease. The foundation of exceptional deliverables lies in obtaining high-quality data. Capture precise data right from the start and work seamlessly by connecting directly to your laser scanner, allowing for device control, data pre-alignment, GeoTag capturing, and even the preparation of field floor plans, all while adhering to best practices in data retention. Users can prepare point cloud data on-site, finalize registration, and publish their results using Leica Geosystems' reality capture software. Moreover, the Leica Cyclone software integrates with your sensors and Cyclone FIELD 360, enabling users to stream data and maximize the efficiency of their fieldwork, ultimately enhancing productivity and ensuring that projects are completed with a high level of accuracy and professionalism. This comprehensive approach ensures that professionals in various industries can rely on Leica Geosystems for all their reality capture needs.