How To Differentiate Advanced Data Visualisation Solutions

Boris Evelson

Boris Evelson By Boris Evelson

I get many inquiries from clients on how to select a data visualization vendor / solution. The criteria that my clients often site are

  • Thick and thin client
  • Dynamic visualizations, not just static charts 
  • Ability to pull data from multiple sources
  • OLAP-like functionality
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Next Gen BI Is Here Today

Ten Strong Hints Your Enterprise May Not Have A BI Strategy

Boris Evelson

Boris Evelson By Boris Evelson

You know that you don't have an enterprise BI strategy if:

 

Want more hints and best practices? Take our BI maturity self assessment test. Then if you actually want to compare your BI strategy and BI maturity against other Forrester clients, take our BI maturity survey. Good luck!

  1. Your end users keep pointing to IT as the source of most BI problems

  2. Your business executives view BI as another cost center
  3. IT staff keep asking end users for report requirements
  4. Your BI is supported by IT help desk
  5. You can’t tell the difference between BI and Performance Management
  6. You can’t measure your BI usage
  7. You can’t measure your BI ROI
  8. You think your BI strategy is the same as your DW strategy
  9. You don’t have a plan to develop, hire, retain and grow BI staff
  10. (My personal favorite) You actually don’t know if your enterprise has a BI strategy!

    Predictive Analytics is for Experts only! - Really?

    Holger Kisker

    You don’t need to be a scientist to boost your business with applied mathematics

    On 22/9/09 SPSS Inc. announced a new certification process to confirm an individual’s expertise with some of their statistical solutions. “Look at this”, I thought “sophisticated software still requires experts to unfold the value they can provide”. Being a physicist by background, I like it how applied mathematics can improve business. However, not everyone sees beauty in algorithms or is interested in statistics.

     

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    BI Saas Vendors Are Not Created Equal

    Boris Evelson

    Boris Evelson By Boris Evelson

    As many of my readers know, for years I’ve been quite skeptical about non-mainstream BI solutions, such as BI SaaS. Security, control, operational risk, data, metadata and application integration are just some of the requirements for enterprise BI that are still on my watch list as potential reasons to be weary about BI SaaS. However, I am also a very pragmatic analyst and truly believe that nothing but supply and demand drive the markets.  And I am now, slowly but surely, beginning to believe there couldn’t be a better case for demand for BI SaaS especially after findings from one of the project that I am currently conducting.

    I recently talked to a few dozen non-IT professionals (specifically in front office roles, such as sales and marketing) across multiple industries, regions and company sizes. Guess how many of them fully or partially relied on IT for their day to day operational and strategic information needs? BIG FAT ZERO!!! This finding was a huge surprise to me – yes, I did expect to find something like less then 50% reliance on IT, but I surely did not expect to find 0%.

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    Open letter to Information Week BI In Healthcare article readers

    Boris Evelson

    Boris Evelson By Boris Evelson

    I am so glad that my Information Week article BI in Healthcare is receiving interest and mostly positive feedback. I believe that this is indeed a very important topic to write about, especially considering how behind the times the industry is, and what a unique opportunity we have right now to get it right. We so strongly believe that this is such a critical IT issue and challenge, that Forrester is even bending its own rules slightly – typically all our research is “role” based, not industry based, as we most often find that challenges and requirements by role are almost always very similar across industries. Healthcare and public sectors seem to be a big exception, and therefore, I and some of my colleagues do plan to publish more Healthcare IT specific research. For example, I am currently in the middle of surveying top 30+ BI vendors specializing in Healthcare against 40+ criteria. Stay tuned to the results of this research. And my colleague, Craig LeClair (http://www.forrester.com/rb/search/results.jsp?N=0+11226), is in the midst of conducting research on EMR best practices.

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    IBM Looks Into The Crystal Ball

    Holger Kisker

    The IT mega vendor acquires the predictive analytics specialist SPSS

     

     

    IBM-SPSS

    On July 28th IBM announced the plan to acquire SPSS, a leading provider of predictive analytics solutions. The acquisition, which is subject to shareholder and regulatory approval, is expected to close later this year and will position IBM as a leading vendor of Business Intelligence in the market.

     

    Please read this Forrester Report for more insights.

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    Information Post-Discovery - Latest BI Trend

    Boris Evelson

    Boris-Evelson By Boris Evelson

    I just came back from an exciting week in Orlando, FL, shuttling between SAP SAPPHIRE and IBM Cognos Forum conferences. Thank you, my friends at SAP and IBM for putting the two conferences right next to each other (time- and location-wise), and for saving me an extra trip!

    Both conferences showed new and exciting products and both vendors are making great progress towards my vision of “next generation BI”: automated, pervasive, unified and limitless.  I track about 20 different trends under these four categories, but there’s a particular one that is especially catching my attention these days. It went largely under covers at both conferences, and I was struggling with how to verbalize it, until my good friend and peer, Mark Albala, of http://www.info-sight-partners.com, put it in excellent terms for me in an email earlier today: it’s all about “pre-discovery” vs. “post-discovery” of data.

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    Free BI Is Still No Free Lunch

    Boris Evelson

    Boris-Evelson By Boris Evelson

    In my recent BI Belt Tightening For Tough Economic Times document I explored a few low-cost alternatives to traditional, mainstream, and typically relatively expensive Business Intelligence (BI) tools. While some of these alternatives indeed were a fraction of a cost of a characteristic large enterprise BI software license, there were even fewer truly zero cost options. But there were some. For example, you can:

    • Leverage and use no-cost bundled BI software already in-house.Small departments and workgroups may be able to leverage BI software that comes bundled at no additional cost with BI appliances, database management systems (DBMSes), and application licenses. You can consider using these few free licenses from Actuate, IBM Cognos, Information Builders, Jaspersoft, Microsoft, MicroStrategy, Panorama, Pentaho, and SAP Business Objects for additional functions such as testing, QA, and prototyping. While these few free licenses are just a drop in the bucket in a typical large enterprise BI license requirements, do look around and don’t waste money on BI products you may already have.
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    Are There BI Implications In The Rumored IBM/Sun Merger? You Betcha!

    Boris Evelson

    Boris-Evelson By Boris Evelson

    I always predicted that Open Source BI has to reach critical mass before it becomes a viable alternative for large enterprise BI platforms. All the individual components (a mixture of Open Source BI projects and commercial vendor wrappers around them) are slowly but surely catching up to their bigger closed source BI brothers. Talend and Kettle (a Pentaho led project) offer data integration components like ETL, Mondrian and Palo (SourceForge projects) have OLAP servers, BIRT (an Eclipse project), Actuate, Jaspersoft and Pentaho have impressive reporting components, Infobright innovates with columnar dbms well suited for BI, and productized offerings from consulting companies like European based Engineering Ingegneria Informatica – SpagoBI – offer some Open Source BI component integration.

    However, even large closed source BI vendors that acquired multiple BI components over the years still struggle with full, seamless component integration. So what chance do Open Source BI projects and vendors with independent leadership structure and often varying priorities have for integrating highly critical BI components such as metadata, data access layers, GUI, common prompting/sorting/ranking/filtering approaches, drill-throughs from one product to another, etc? Today, close to none. However, a potential consolidation of such products and technologies under one roof can indeed create a highly needed critical mass and give these individual components a chance to grow into large enterprise quality BI solutions.

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