skip to main content
Close Icon We use cookies to improve your website experience.  To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy.  By continuing to use the website, you consent to our use of cookies.
Global Search Configuration


This report analyzes the impact of new automated predictive analytical capabilities available in analytics solutions that enable non-experts to extrapolate future trends from enterprise data at the click of a button.


  • Data sets need to be well curated for prediction models to run properly, highlighting the need for a strong enterprise data culture and good data management tools.

Features and Benefits

  • Analyzes the impact of new automated predictive analytical capabilities available in analytics solutions.
  • Identifies the steps enterprises should take to fully take advantage of self-service predictive analytics capabilities.

Key questions answered

  • How will the introduction and refinement of automatic predictive analytics capabilities in self-service analytics applications impact the analytics market?
  • What should enterprises do to fully benefit from new automated self-service analytics capabilities?

Table of contents


  • Catalyst
  • Ovum view
  • Key messages


  • Recommendations for enterprises
  • Recommendations for vendors

Expert insights with code-free predictive analytics

  • Automated and visual predictive capabilities, the self-service analytics way
  • Predictions for everyone, not just data scientists

In algorithms we trust, but only if we understand them

  • To take up prediction tools, users need to know how they work
  • Easily adjustable predictive models reflect enterprise reality

Embedding predictive analytics tools into core enterprise applications

  • Predictions are more valuable if they are viewed in the business context

Predictive analytics capabilities rely on well-curated data

  • Good data management is essential to break the garbage in/out cycle
  • To make full advantage of predictive analytics, the enterprise data culture must not be neglected


  • Methodology
  • Further reading
  • Author

Recommended Articles

  • Service Provider Markets, Consumer & Entertainment Services,...

    MWC 2018 Highlights

    By Ronan De Renesse 27 Feb 2018

    Over 20 of our senior Ovum analysts and consultants attended this year’s Mobile World Congress in Barcelona at the end of February. In between meetings, briefings and presentations, our analyst team were blogging and tweeting about key developments, trends and rumors. Have a look through our daily MWC 2018 Highlights to find out what happened.

    Topics 5G AI IoT Cloud Payments SDN/NFV Smart home

  • Consumer & Entertainment Services

    US pay TV: Is it facing an existential threat?

    By Adam Thomas 28 Mar 2018

    With US pay TV having endured the worst year in its history, thoughts have inevitably turned to the future. The likelihood remains that the immediate future will remain highly uncomfortable for everyone except the scaled multinational digital platforms.

  • Enterprise Decision Maker, Enterprise IT Strategy and Select...

    2017 Trends to Watch: Big Data

    By Tony Baer 21 Nov 2016

    The breakout use case for big data will be fast data. The Internet of Things (IoT) is increasing the urgency for enterprises to embrace real-time streaming analytics, as use cases from mobile devices and sensors become compelling to a wide range of industry sectors.

    Topics Big data and analytics IoT


Have any questions? Speak to a Specialist

Europe, Middle East & Africa team - +44 (0) 207 017 7700

Asia-Pacific team - +61 (0)3 960 16700

US team - +1 646 957 8878

Email us at

You can also contact your named/allocated Client Services Executive using their direct dial.
PR enquiries - Call us at +44 788 597 5160 or email us at

Contact marketing -

Already an Ovum client? Login to the Knowledge Center now