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Augmented analytics tools: a complete guide

Augmented analytics tools are designed to simplify the BI and analytics process for business users and citizen data scientists. They've become featured elements in new software releases from BI vendors of all stripes looking to keep up with rivals in automating data discovery, preparation and analysis functions. This e-guide offers insights into the technology's potential uses and critical issues.

These are also closely related to: "Data Science for Everyone"

  • A Computer Weekly buyer's guide to big data architecture

    In this 14-page buyer’s guide, Computer Weekly looks at:

    • How AI workloads affect storage
    • How with a robust data architecture, a firm’s data science team can turn raw data into business insight
    • How exponential growth in data drives the IT industry to re-engineer long-held views of information management

  • Business analytics needs underpinnings of sound data and data-skilled humans

    Data analytics for the solution of first-order business problems is probably more important than ever. It is not new. Companies and organisations have been analysing computerised data for many decades. But all sorts of companies now pronounce themselves "data driven". Read more about business analytics trends in this exclusive e-guide.

    - Why some data-driven decisions are not to be trusted
    - Data integration dogged by complexity and vital to business
    - Marks & Spencer upskills internal talent with data science education
    - How data analytics drives wind turbine power generation

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