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GigaOm Radar for Data Sciencev2.01

Table of Contents

  1. Summary
  2. Market Categories and User Segments
  3. Key Criteria Comparison
  4. GigaOm Radar
  5. Vendor Insights
  6. Analyst’s Take
  7. About Andrew Brust

1. Summary

As an enterprise area of focus, data science is one of the more sophisticated facets of data analytics. It requires the basics of collecting, cleansing, and curating source system data, and then implementing different forms of artificial intelligence (AI) and machine learning (ML)—including statistical and non-statistical options—to create timely analytics action and deliver enterprise value.

Data science solutions provide a comprehensive environment in which to manage all aspects of data science—from onboarding data for model training to deploying predictive models.

In this GigaOm Radar report, we review several types of data science vendors. Some focus exclusively on this discipline, whether they’re established players or startups. Others are offerings from major cloud service providers—some of whom are known trailblazers in contemporary AI. There are also enterprise incumbents that have solutions for numerous dimensions of data management, in which their data science solution is part of a broader ecosystem of products.

The versatile nature of the vendors and their products and services makes them suitable for organizations of varying size, technological sophistication, and spending power. This diversity is also ideal for accommodating an array of industries, some of which tend to rely on data science more than others—for example, financial services, life sciences, and e-commerce. The range of use cases supported by the different types of vendors includes everything from customer interactions via natural language processing (NLP) to prescriptive analytics for preventive maintenance.

This GigaOm Radar report highlights key data science vendors and equips IT decision-makers with the information needed to select the best fit for their business and use case requirements. In the corresponding GigaOm report, “Key Criteria for Evaluating Data Science Solutions,” we describe in more detail the key features and metrics that are used to evaluate vendors in this market.

How to Read this Report

This GigaOm report is one of a series of documents that helps IT organizations assess competing solutions in the context of well-defined features and criteria. For a fuller understanding, consider reviewing the following reports:

Key Criteria report: A detailed market sector analysis that assesses the impact that key product features and criteria have on top-line solution characteristics—such as scalability, performance, and TCO—that drive purchase decisions.

GigaOm Radar report: A forward-looking analysis that plots the relative value and progression of vendor solutions along multiple axes based on strategy and execution. The Radar report includes a breakdown of each vendor’s offering in the sector.

Solution Profile: An in-depth vendor analysis that builds on the framework developed in the Key Criteria and Radar reports to assess a company’s engagement within a technology sector. This analysis includes forward-looking guidance around both strategy and product.