Top 5 Business Intelligence (BI) Trends in 2013


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Below are a few trends that we believe are going to gain momentum this year.

Agile IM 
Cloud BI / SaaS BI
Mobile Business Intelligence
Big Data

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Top 5 Business Intelligence (BI) Trends in 2013

  1. 1. Top 5 BI Trends - 2013
  2. 2. TOP 5 BI Trends• Over the past year there have been some significant developments in theinformation management (IM) and business intelligence (BI) space. Theworld has been focused on the idea of big data, the technology behind it andthe promise of strong competitive advantage and insight / forecastpreviously considered unfeasible.But, can the big data hype really be lived up to and how will the technologylandscape shift in 2013?Below are a few trends that we believe are going to gain momentum this year.• Agile IM• Cloud BI / SaaS BI• Mobile Business Intelligence• Analytics• Big Data
  3. 3. Agile information management• An agile approach can be used to incrementally remove operational costsand if deployed correctly, can return great benefits to any organisation.• Agile IM delivery folds 80 per cent of planning into the actual programdeployment. This not only gets projects off the ground faster and gives thebusiness results sooner, but yields much better requirements, so theeffectiveness of the development team increases dramatically.• TDWI Institute results 82 percent of the survey, found increased successwith agile projectsAgile Software Methodology• Agile is software development methodology. It is very effective, where Clientfrequently changes his requirement. Since it has more iteration so you canassure a solution that meets client’s requirement. It involves more clientinteraction and testing effort.
  4. 4. Cloud BI / SaaS BI• More organizations will adopt cloud BI solutions in 2013 due in part to theneed to lessen the burden on internal IT resources and the desire for lowinitial investment cost in a tight economic climate. The greatest challenge fororganizations is the logistical issue of actually moving data into the cloud.They need to look at the security network and bandwidth, the quality of thedata they are transferring and planning to analyze and think about a usableinterface.• Once data has been transferred to the cloud, there are numerous cost-effective BI tools available for organisations to take advantage of.• Tools used for Cloud BI: Cognos Business Intelligence 10.1.1, Indicee(AnCanadian company) Cloud Business Intelligence (BI) On Demand Solution),Birst (An California, US based company), Good Data (, SAPBusiness Objects / BI on Demand, Pivot link(Retail Best Practice - OnDemand, An California, US based company)
  5. 5. Mobile BI• Mobile business intelligence offers huge advantages, particularly those withincreasingly mobile and remote workforces. It means that staff andmanagement are never disconnected from the tools that help them makebusiness decisions. Tools used for Mobile BI: MicroStrategy, SAP Mobileand Oracle Mobile HD• Mobile business applications have become a vital part of mostorganizations. The increase in maturity and adoption of mobile technologyhas created a workforce reliant upon instant access to information. Businessintelligence is no exception. As the power available on handheld devicesincreases, coupled with greater bandwidth such as Telstra’s 4G networksand the National Broadband Network roll out, the ability to crunchinformation on mobile devices will become easier.• With Smartphone’s, a lot of future computing is actually web-centric.Rendering a complex webpage today is less resource intensive and fasteron a Smartphone than it was a decade ago on technically faster CPUs.However, mobile is still only a delivery channel enabled by web basedserver side delivery. Due to the ease of consumption, more C-levelexecutives will see the value of better business decision making, moreoften, when and where they need it.
  6. 6. Analytics• Data analytics (DA) is the science of examining raw data with the purpose ofdrawing conclusions about that information. Data analytics is used in manyindustries to allow companies and organization to make better businessdecisions and in the sciences to verify or disprove existing models ortheories. Data analytics is distinguished from data mining by the scope,purpose and focus of the analysis. Data miners sort through huge data setsusing sophisticated software to identify undiscovered patterns and establishhidden relationships.• Tools used for Analytics: Qlikview, Tableau, SAS Visual Analytics,Microsofts Power View via SharePoint, AP Visual Intelligence, IBM Cognos10.2, SAS LASR Server,IT companies & locations with a StrongAnalytics Practice in India1.Infosys, Bangalore3. Cognizant (Market Rx)- Chennai, Pune,Gurgaon3. TCS, Chennai and Mumbai4. HCL,Gurgaon, Chennai5. Wipro, Kolkatta, Bangalore6. Capgemini,Bangalore7. Mahindra satyamRef Link:
  7. 7. Big Data• The big data movement arose out of need for a better way to managerapidly growing volumes of data and a desire to make use of thatinformation for quicker decision making.• Data looks at making the most of available data (both structured andunstructured).• The ability to fit a twitter feed or Facebook page into something sensible, orcrawl through the thousands of documents that exist on networks via aGoogle type search and bring that back into a structured format that can beintegrated for example with a Cognos report is where the gold is.Primary IT Companies: IBM, HP,Teradata, Dell, Oracle, SAP, EMC,Cisco Systems, Microsoft, Accenture,Fusion-io, PWC, Deloitte, Amazon,Netapp, Hitachi, TCS, CapGemini andothersRef:
  8. 8. Questions???
  9. 9. Thank you
  10. 10. Thank you