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SiliconIndias’ Business Intelligence Conference, Pune - Jan 29, 2011
By Shashank Garg | Jan 2011
Business Intelligence Trends
Agenda
State of Business Intelligence
Business Intelligence Trends
What are our customers asking for?
The State of Business Intelligence
State of Business Intelligence
Data Warehousing has been around in some fashion for nearly 40 years and BI for nearly 20.
Other technology disciplines have evolved in dramatic ways over the same timeframe Applications from Distributed -> Client Server -> Web Web from Static Content ->Simple Applications -> Web 2.0 -> Web 3.0 Land Line -> Brick Phone -> Clam Shell -> Razor -> iPhone
BI has remained relatively “the same” Historical Slow to implement Focuses on “Slice and Dice” Little advancement in terms of decision support
State of Business Intelligence
We are in the age of Big Data Expectations from data consumers are unlimited data and timely access There is no way for organizations to “manage” the data We need to be able to pull what we want and connect the dots quickly Decision makers want to drive, not be driven
Business Intelligence Trends
Event-Driven BI
The Challenge There is too much data Trend lines do not change – historical data is no longer news Changes in the data, especially the closer you get to real-time
information, can be highly volatile Changes in the direction of data can be important, but it can be hard
to assume what is a significant change and which isn’t
The Trend Event driven alerting “Event” means that the change in the data is significant. Something
else is happening to affect the change Determined by using simple statistical analysis such as correlations,
t scores and confidence intervals
Predictive Analytics
The Challenge Historical data holds only so much value Organizations know the information in their BI systems can serve as
headlights instead of rear-view mirrors Decision makers want the data to tell them what to do
The Trend Applying predictive analytic models to historical data to give answers
to these questions: Where is this current trend taking us? What are the key variables in the data that move our KPI’s in the right
direction and vice versa? Where should we be focusing our time and energy? Which of our customers should we be targeting with what products?
Open Source BI and On-Demand BI
The Challenge The economy has taken its toll on corporate mindset and budgets “Do more with less”
The Trend Open Source business intelligence solutions growth is outpacing the
market BI software-as-a-service (or On-Demand BI) giving companies best-
in-class BI operations without the licensing and payroll overhead BI just when you need it
Quiz!
How much data exists in our digital universe?
Answer:1.2 Zettabytes
(1,200,000,000,000,000,000,000 bytes)
How Much Data Is Out There?
How Much Data Is Out There?
How Much Data in 2010
Predicted Data Universe For 2020
By 2020, the amount of data in the digital universe will be 35 ZB.
The vast majority of the data will not be generated by companies, but they will want access to it.
Crowdsourced BI, Text Mining, Mashups and DaaS
The Challenge Data is the new oil and companies do not own most of it Consumers are creating a wealth of information that is more valuable
than what companies can create on their own Most companies do not know how to get to it or know what to do with
it if the could The vast majority of the value is hidden in unstructured data
The Trend Crowdsourced BI – Leveraging the huge, high-quality social networks
such as Facebook, Twitter, Yelp! and Foursquare to identify trends, measure marketing messages, brand awareness, etc.
Crowdsourced BI, Text Mining, Mashups and DaaS (cont.)
The Trend Text Mining – The ability to turn textual, unstructured data into
quantifiable and tagged data sets that are customized to a company
Mashups – Pulling and integrating data from multiple social networks, web 2.0 and other external sources in real-time
Data-as-a-Service – The emergence of external conformed, cleaned data on demand that can be easily custom tagged and integrated with an organization's own data. Management and QA of the data is no longer a cost to the organization Easier integration points with BI, ETL and MDM tools Pay for just the data you need and for how long you need it
Advanced Visualizations
The Challenge The volume of data is overwhelming for decision makers Easy to get lost in the details Need to interact with the data for real time analysis The delay between question and answer is too long BI tools are still too complicated for the business users
The Trend Advanced Visualizations
Goodbye spreadsheets – tired of getting lost in the data iPhone, iPad, ClikView, Flex, etc. – driving the visualization revolution Power to the people – analysis where it needs to happen
Quiz!
What is the #1 Business Intelligence tool in the world today?
Answer:
Meta Data Management
The Challenge Companies continue with unresolved QA issues More data, different sources Data quality and management are not strengths Disparate data repositories, sets and silos will grow
The Trend Quality will need to get better Integration between many data sources will become more like plug-n-
play Metadata information must be business centric, end-user perspective
and JWINTKRWINTKI (Just-What-I-Need-To-Know-Right-When-I-Need-To-Know-It)…this is why the acronym JIT caught on much faster
What are our customers asking for?
Advanced VisualizationOpen Source
Crowdsourced
Text Mining
MashupsEvent-Driven
Predictive AnalyticsData-as-a-Service
On-Demand BI
SiliconIndias’ Business Intelligence Conference, Pune - Jan 29, 2011
Thank You