Data preparation software assists in the process of discovering; blending; combining, cleansing, and enriching; and transforming data so large datasets can be easily integrated, consumed, and analyzed with business intelligence and analytics solutions. Data preparation tools provide self-service capabilities for IT departments, data analysts, data scientists, and average business users to integrate disparate data sources in a quick and efficient way. By preparing, combining, and cleaning data, it makes for a much smoother analysis experience when businesses attempt to extract actionable insights from their data. Many data preparation solutions offer governance, metadata management, and machine learning functionality to help improve the overall functionality of the software.
Data preparation software is utilized by data-driven companies that empower their employees to explore business data to enhance decision-making and drive productive change. Typically, these businesses also use some form of business intelligence software to complete the actual analysis of the data. Standalone data preparation software integrates with business intelligence platforms and other analytics tools so clean datasets can be easily understood and acted upon. Data preparation tools may also be used in conjunction with data integration software to make it easier when combining data sources.
Many business intelligence platforms and self-service business intelligence software have data preparation capabilities. Additionally, data preparation functionality may be included in data integration solutions. However, standalone data preparation solutions offer more focused functionality and more flexibility in terms of analytics tools a business can use in conjunction with these data preparation products.
To qualify for inclusion in the Data Preparation software category, a product must:
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Datawatch, an Altair company enables ordinary users to achieve extraordinary results with their data. Only Datawatch can unlock data from the widest variety of sources and prepare it for use in visualization and analytics tools, or for other business processes. When real-time visibility into rapidly changing data is critical, Datawatch also enables users to analyze streaming data, even in the most demanding environments, such as capital markets. Organizations of all sizes in more than 100 countries worldwide use Datawatch products, including 93 of the Fortune 100. To learn more about Datawatch or download a free version of its enterprise software, please visit: www.datawatch.com.
Alteryx, Inc. is a leader in self-service data analytics. Alteryx Analytics provides analysts with the unique ability to easily prep, blend, and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks. Analysts love the Alteryx Analytics platform because they can connect to and cleanse data from data warehouses, cloud applications, spreadsheets, and other sources, easily join this data together, then perform analytics – predictive, statistical, and spatial – using the same intuitive user interface, without writing any code. Thousands of companies and data analysts worldwide rely on Alteryx daily.
Datameer is an analytics lifecycle platform that helps enterprises unlock all their raw data. The cloud-native platform was built for the complexity of large enterprises—yet it’s so easy to use that everyone from business analysts to data scientists to data architects can collaborate on a centralized view of all their data. Without any code, teams can rapidly integrate, transform, discover, and operationalize datasets to their projects. Datameer breaks down data silos, gets companies ahead of their data demands, and empowers everyone to discover insights. Datameer works with customers from every industry including Dell, Vodaphone, Citibank, UPS, and more. Learn more at datameer.com.
Drive more successful analytics, data migration, and master data management (MDM) initiatives with the SAP Agile Data Preparation application. Quickly transform your data into actionable, easily consumable information and simplify how you access and discover the shape of data to become far more productive and agile than you ever dreamed.
A Semantic Layer for the Enterprise. Enabling Connected Data Access and Analytics on Demand. Anzo Smart Data Lake (ASDL) connects to both internal and external data sources, including cloud or on-premise Hadoop based data lakes to rapidly ingest and catalog large volumes of structured and unstructured data through horizontally scaled, automated Extract, Transform and Load (ETL) processes that can be mapped to establish a Semantic Layer of business meaning.
Clearstory Data is transforming Enterprise-scale Business Analytics via machine-learning and Artificial Intelligence so companies can empower their business users and business leaders to speed insights and discover more from their disparate data assets for material business impact. Clearstory is uniquely differentiated with modern capabilities across data prep via Data Inference, automated Intelligent Data Harmonization™, Instant Data Discovery, Auto-discovery of Business Insights in Collaborative StoryBoards™. Clearstory Data also is a pioneer in leveraging Apache Spark-based data processing to speed insights from large and complex data sources. The company is headquartered in Menlo Park, CA with offices across North America and backed by Andreessen Horowitz, DAG Ventures, Google Ventures, Khosla Ventures and Kleiner Perkins Caufield & Byers (KPCB). Visit www.clearstorydata.com and follow us on Twitter @ClearStoryData.
At Paxata, we turn raw data into trustworthy information at the speed of thought. We provide an Adaptive Information Platform that enables business leaders and analysts with an enterprise-grade, self-service data preparation system for analytics, operations and regulatory requirements. Business analysts work within an intuitive, visual application to access, explore, shape, collaborate and publish data with clicks, not code, with complete governance and security. IT is able to support the scale of data volumes and variety, enterprise and cloud data sources, and business scenarios for immediate and repeatable data service needs. Built on Apache SparkTM and optimized to run in hybrid, multi-cloud environments, Paxata leverages automated artificial intelligence, elastic cloud architecture and distributed computing to deliver an immersive business consumer experience that automates the data-to-insight pipeline.