The document outlines the top five business intelligence trends for 2013, highlighting the rise of agile information management, cloud-based BI solutions, mobile business intelligence, data analytics, and the big data movement. Each trend emphasizes the importance of technology in improving operational efficiency and decision-making for organizations. As businesses adopt these technologies, they aim to leverage data for competitive advantage in a rapidly evolving market.

1. Top 5 BI Trends - 2013

2. 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

3. 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.

4. 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)

5. 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.

6. 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, Bangalore
3. Cognizant (Market Rx)- Chennai, Pune,
Gurgaon
3. TCS, Chennai and Mumbai
4. HCL,Gurgaon, Chennai
5. Wipro, Kolkatta, Bangalore
6. Capgemini,Bangalore
7. Mahindra satyam
Ref Link: http://ravikumar-
analytics.blogspot.in/2009/11/top-analytics-
companies-in-india.html

7. 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
others
Ref:
http://wikibon.org/wiki/v/Big_Data_Ven
dor_Revenue_and_Market_Forecast_2
012-2017

8. Questions???

9. Thank you

10. Thank you