Top 5 BI Trends - 2013

TOP 5 BI Trends

• Over the past year there have been some significant developments in the information management (IM) and business intelligence (BI) space. The world has been focused on the idea of big data, the technology behind it and the promise of strong competitive advantage and insight / forecast previously considered unfeasible.

But, can the big data hype really be lived up to and how will the technology landscape 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

Agile information management

• An agile approach can be used to incrementally remove operational costs and if deployed correctly, can return great benefits to any organisation.

• Agile IM delivery folds 80 per cent of planning into the actual program deployment. This not only gets projects off the ground faster and gives the business results sooner, but yields much better requirements, so the effectiveness of the development team increases dramatically.

• TDWI Institute results 82 percent of the survey, found increased success with agile projects

Agile Software Methodology

• Agile is software development methodology. It is very effective, where Client frequently changes his requirement. Since it has more iteration so you can assure a solution that meets client’s requirement. It involves more client interaction and testing effort.

Cloud BI / SaaS BI

• More organizations will adopt cloud BI solutions in 2013 due in part to the need to lessen the burden on internal IT resources and the desire for low initial investment cost in a tight economic climate. The greatest challenge for organizations is the logistical issue of actually moving data into the cloud. They need to look at the security network and bandwidth, the quality of the data they are transferring and planning to analyze and think about a usable interface.

• 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(An Canadian company) Cloud Business Intelligence (BI) On Demand Solution), Birst (An California, US based company), Good Data (Salesforce.com), SAP Business Objects / BI on Demand, Pivot link(Retail Best Practice - On Demand, An California, US based company)

Mobile BI• Mobile business intelligence offers huge advantages, particularly those with

increasingly mobile and remote workforces. It means that staff and management are never disconnected from the tools that help them make business decisions. Tools used for Mobile BI: MicroStrategy, SAP Mobile and Oracle Mobile HD

• Mobile business applications have become a vital part of most organizations. The increase in maturity and adoption of mobile technology has created a workforce reliant upon instant access to information. Business intelligence is no exception. As the power available on handheld devices increases, coupled with greater bandwidth such as Telstra’s 4G networks and the National Broadband Network roll out, the ability to crunch information 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 faster on a Smartphone than it was a decade ago on technically faster CPUs.

However, mobile is still only a delivery channel enabled by web based server side delivery. Due to the ease of consumption, more C-level executives will see the value of better business decision making, more often, when and where they need it.

Analytics

• Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories. Data analytics is distinguished from data mining by the scope, purpose and focus of the analysis. Data miners sort through huge data sets using sophisticated software to identify undiscovered patterns and establish hidden relationships. 

• Tools used for Analytics: Qlikview, Tableau, SAS Visual Analytics, Microsoft's Power View via SharePoint, AP Visual Intelligence, IBM Cognos 10.2, SAS LASR Server,

IT companies & locations with a Strong Analytics Practice in India

1.Infosys, Bangalore3. Cognizant (Market Rx)- Chennai, Pune,

Gurgaon3. TCS, Chennai and Mumbai

4. HCL,Gurgaon, Chennai5. Wipro, Kolkatta, Bangalore

6. Capgemini,Bangalore7. Mahindra satyam

Ref Link: http://ravikumar-analytics.blogspot.in/2009/11/top-analytics-

companies-in-india.html

Big Data

• The big data movement arose out of need for a better way to manage rapidly growing volumes of data and a desire to make use of that information for quicker decision making.

• Data looks at making the most of available data (both structured and unstructured).

• The ability to fit a twitter feed or Facebook page into something sensible, or crawl through the thousands of documents that exist on networks via a Google type search and bring that back into a structured format that can be integrated 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 and othersRef:

http://wikibon.org/wiki/v/Big_Data_Vendor_Revenue_and_Market_Forecast_2

012-2017

Questions???

Thank you