Nenshad Bardoliwalla is Co-Author of Driven to Perform: Risk-Aware Performance Management From Strategy Through Execution (Evolved Technologist Press, New York, NY, 2009), and an entrepreneurial analytics product executive. He is currently Co-Founder and VP Products at Paxata, the Adaptive Data Preparation pioneer. He has played critical leadership roles in the market success of many of the analytic products that now comprise the Oracle and SAP Enterprise Performance Management and Business Intelligence suites. Nenshad holds a BA from Cornell University and an MA from New York University.
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35 responses to “The Top 10 Trends for 2010 in Analytics, Business Intelligence, and Performance Management”

  1. Alex Guazzelli

    Hi Nenshad. Thanks for putting together this all-inclusive article. I benefited a lot from reading it. I was on the edge of my seat waiting for you to mention Excel … until you finally did at the very end.

    I could not pass the opportunity to mention that in terms of open source and open standards, the field of predictive analytics is looking brighter by the day. I believe predictive analytics allows for making sense of it all. Although data visualization is a great step towards understanding data, there are patterns and trends in data that can only really be detected by a learning algorithm (e.g. neural network). I believe analytics will benefit even more from predictive analytics in 2010. In turn, predictive analytics is already benefiting from open source systems such as KNIME, R, Rapid-Miner, Weka … all of which support PMML (Predictive Model Markup Language), which is the de facto standard to represent data manipulations and statistical models so that these can be easily moved around among disparate applications.

    At Zementis, we have been using PMML to power our own predictive analytics engine which can be accessed by anyone at anytime since it is offered as a Service in the Amazon Cloud. I agree completely with you that SaaS is here to revolutionize the BI space … as well as predictive analytics and forecasting. Coming back to Excel, we have just launched an add-in for Excel 2007 that allows users to generate predictions out of their data instantly by using models they built using the best of breed commercial or open-source predictive analytics packages (most, if not all export PMML).

    Open source and open standards are more and more defining the pace and face of analytics, business intelligence, and performance management.

    Best,

    Alex

  2. Jerome Pineau

    Hi Nenshad,

    Another hit post out of the ballpark – Excellent run-down of all major radar point IMO. I did want to ask you something:

    “Additionally, a whole new industry of DBMSs dedicated to Analytic workloads have sprung up…” You are correct of course and there is a trend in VLDB trenches right now pushing “analytics” into the database engine – SAS is partnering with NZ and Aster (if I remember correctly) and Aster has pretty much shifted to an “app server” type of offering I believe (integrating mapreduce among other things). I guess my question is: how are these analytics any different from the SQL-99 OLAP extensions, for example? When they say “analytics” inside the engine, what exactly do you see that as? Is that like predictive stuff or just sophisticated OLAP math (like windowing and the like..)?

    I’d be curious to get your insight on that.
    Thanks
    J.

  3. Arturas Kvederis

    Thanks for a great article Nenshad, had a glimpse at what to expect from BI in 2010 :)

  4. The Top 10 Trends for 2010 in Analytics, Business Intelligence, and Performance Management
  5. Charlie Berger

    Agree 100% with #2 (predictive, real-time enterprise). RDBMS can now, not only store.manage the data, but now they can “think” about the data, find patterns and relationships and make predictions. Oracle has been “stem-celling” advanced analytics inside the SQL kernel for the past 10 years and the BI/analytics and Applications markets are long overdue for some major changes. The strategy of “Moving algorithms to the data” versus. “moving data to the algorithms” enables so many new possibilities.

    [Pls forgive brief sales pitch that is required for final point: Oracle has 12 in-database data mining functions (SQL &/or Java APIs for model building and model scoring), a freeoptional Oracle Data Miner GUI (classic), a new Oracle Data Miner 11gR2 NEW work flow GUI that I unveiled at OOW '09, and we've recently announced several Oracle predictive analytics Applications "powered by Oracle Data Mining"]

    Given that a Database, in addition to managing data, can automatically mine the data, serve up insights, correlations, profiles and “rules” to dashboards, devices and applications, etc., this is long overdue. In 2010 we should start to see more clever uses of data that is put it to more beneficial use. If you have the data, then why haven’t you analyzed it? Maybe in 2010, my bank ATM will stop asking me “What language?” and instead will note that it is Friday night and predict/suggest that I take out another $100! I can’t wait for 2010! Great article.

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  7. Appregatta Blog » 2010: The Year of Business Intelligence

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  14. business intelligence solutions

    very right predictions. the article as a whole is full of knowledge.

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    [...] as a “Top Ten BI Trend in 2010”. Two of my favorite Top Ten lists came from Lyndsay Wise and Nenshad Bardoliwalla. Coincidentally, both ranked advanced visualization seventh on their lists. No surprise, really, as [...]

  16. Jeffrey Bunting

    Great Roundup!

    One thing I think we will continue to see around strategy execution management packages is operational and executive leadership taking the responsibility for implementing these things. The wider availability of SaaS products only increases this trend. At ActiveStrategy, we are seeing multi-billion dollar organizations executing our strategy execution system WITH NO IT SUPPORT, and these are systems with thousands of users. It’s really quite amazing to see these types of systems equated more to a social networking approach with data (which comes from BI systems often via spreadsheets or ODBC uploads) than a BI/ERM approach with some collaboration.

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  20. we are cloud

    Interesting post. Now we are halfway through the year, how do you feel about these trends? Have they happened as you expected, or have you seen different results? We were interested to see so we did a little research around the topic (although we looked only at BI and data mining) more recently on things we thought have been popular in 2010 that you may be interested to read – http://bit.ly/c9wxPx.

  21. Frank Diana

    Very well done. Hard to argue with any of your key points. I see social technologies and the overwhelming amount of user generated content as a major analytic challenge for the C-Levels that I talk to. Finding relevant data, extracting relevant insight, and driving action are key challenges. You mentioned text analytics. I see it playing a major role in applications that focus on both voice of the customer and risk management initiatives.

  22. Tania

    Thanks for a great post Nenshad, as you said excel plays vital role in Analytics, Business Intelligence, and Performance Management but especially in BI. Now excel is also a very big database and make tie-up with many technologies like sharepoint2010.

    http://godwinsblog.cdtech.in/2010/12/microsoft-office-excel-add-in-plug-in.html

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  24. John Kyle

    Nearly 15 months after you wrote this post, it still holds true – particularly the last point. Excel reporting is, by far, the dominant business intelligence reality for most people around the world. Why is this true? People are comfortable with Excel. In general, they prefer it to web-based BI. And, they already have it installed on their desktops which makes it the incumbent. If we’re honest, we have to admit that Excel is a really powerful way to navigate, analyze data. It’s really easy for novice users to build charts and graphs. And it’s pretty easy for advanced users to build pivot tables and Excel dashboards. And there are a lot of free resources on the web to help people do things in Excel. The main thing missing for most users is Excel automation – the ability to schedule Excel reports and deliver them automatically to distribution lists. But even this is available through third parties. Nice article, Neshad. Your prognostications are holding up well!

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  29. Guido

    Interesting articles still actual, with a great valuable analisys. Now I’m getting crazy with my team in experimenting a robust technology to implement a SaaS based BI set of functionalities for a Enterprise wide customer. Any comments or suggestion is more than welcome.
    ciao GG

  30. HRMS

    This blog explains top 10 trends which are helpful to the performance management and analytic,and business intelligence.thanks for posting and sharing these top 10 trends with us.

  31. PK

    Hi,
    I am planning to change over my career from chemical engineering to BI. The point in the article are great but i didn’t fully understand it. Experts/Gurus please advise me on BI Career for new comers and the future potential/demand to establish a career in BI.
    I am thinking of IBM Cognos BI will it be helpful for me to learn and find a job in this area.

    Thank you all!

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