Now that companies have a better understanding of what is going to shape Business Intelligence in 2012 the question that BI users are asking is: “How will these trends impact my existing BI Solution and what are the best practices to implementing a BI 3.0 solution?
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Top Business Intelligence trends for 2012
1.
2.
3.
4. The Market Trends To Follow
Trends Trend by Gartner Trends by Forrester
Self-Service It’s all about getting things done. Enterprises will
learn to live with multiple BI tools. More BI will move
into the hands of end users
Mobile By 2013, 33% of BI functionality will be Mobile BI will go mainstream.
consumed via handheld devices.
In-Memory By 2014, 30% of analytic applications will Those BI platforms that support “managed” end user
use in-memory functions to add scale and self-service will become more popular.
computational speed. BI-specific DBMSes (in-memory, others) will go
mainstream.
Exploration (without preconceived notions, prebuilt
fixed data models, or up-front specific questions in
mind) will be the new bread and butter of BI suites
Social BI By 2013, 15% of BI deployments will BI users will start demanding — and vendors will start
combine BI, collaboration and social delivering — BI tools integrated with email and
software into decision-making environments collaboration platforms. Just integrating BI with Excel
is no longer enough.
Contextual By 2014, 30% of analytic applications will
use proactive, predictive and forecasting
capabilities.
5. In Memory
Ram in Place of Disk
In-Memory database
Not persistent, limited use
6. Necto Analytics - Best way to utilize
the value of SQL 2012
Use MDX and/or DAX
USE OLAP or In-
Memory (tabular
model)
Utilize metadata
richness in your
analytics work
Always get the feature
richness of Necto
7. Necto Analytics – unbound
Provide a single
solution for insight from
models from many
varied data sources
easily add new sources
of information and
connect them to
existing ones to always
get a wholistic view and
insights
9. 147.2 million Tablet computers will
ship in 2015, up from 16.1 million units
in 2010.
Infinite Research
10. “Enterprise mobile workers will make up 73% of
the workforce in 2012”
Source: Forrester Research
http://www.information-age.com/channels/comms-and-networking/perspectives-and-trends/1095262/three-quarters-of-enterprise-
workers-will-be-mobile-by-2012.thtml
11. Paradigm shift
From “Get me the information” to
“I will get the information myself”
14. Next Generation Analytics
The connection between Collaboration and Unstructured will support
decision making
Fixed rules Data Predictions
In-Line/
Embedded
Analytics
Traditional
Offline
Analytics
Structured and
Collaborating &
Simple Data
Explanatory Unstructured
Historical Data
Predictive
Outcomes
15. Easily connect structured data from the
database & unstructured data from twitter,
Wikipedia, search engines, etc.
16. Mid-point Review
Technology is seen as a strategic tool, and
center for innovation
Return of analytics and BI
Most companies run (and continue to) multiple BI
tools
In memory & consolidation
Mobile BI goes mainstream
Mobile pushes demand for true self-service
Next generation BI includes: collaboration &
unstructured data
23. Contextual User Experience
Context will bring it all together.
Use context to link mobile, social, location, payment and commerce.
Build skills in augmented reality, model-driven security and ensemble applications.
Expect change in business models and offerings from providers through 2015.
2012-2013 Targeted Context 2014-2018: Pervasive Context
Identity, Time ,Locations, Social Habits, Needs, Behavior, inferred
Networks intent
GPS, NFC, Bar Code image Context Delivery, Brokers, Search+
recognition
Augmented reality, Proactive alerts, Contextual content, anticipatory
M-commerce behaviors, contextual UI
Adjacent devices, People Ensemble interactions
Context driven by mobile strategy Context driven by business strategy
24. In one click identify a problem, in another - find
the root cause of that problem
27. NECTO™ is a socially enabled BI
system, which is context aware so it
anticipates your needs and
automatically pushes relevant information
in real time.
What the future of analytics will look like is the integration of collaboration and unstructured data into the decision making processAdding another axis connection between structured and simple data and its outcomes.