Top five trends that will dominate the Global 2000 data discussion in 2015. Read the original blog titled, "2015: Removing Blind Spots and Bringing Data Intelligence to Everyone" at http://bit.ly/1xMBLWy

1. 2015 Trends in
Data Intelligence

2. 1Variety will Become the Most important “V” in Big Data.
As data sources proliferate, they’ll be
increasingly daunting and more costly to wrestle.
Organizations of all kinds rely on data that
resides in different silos: relational databases, flat
files, “Big Data” platforms, cloud-based services
and thousands of external data sources.
Companies struggle to access, blend and
harmonize various formats to extract crucial
insights and opportunities. Data variety will be
the number one challenge companies will seek to
overcome.

3. 2Businesses will automate Data Wrangling.
Most organizations today spend 70 to 80 percent
of time and resources modeling or preparing data
– versus interacting with it to deliver insights. The
ability to simplify data preparation and automate
data mash-ups for fast holistic views, will take
shape in 2015 through new innovation so
organizations can move beyond lengthy,
laborious data wrangling. New automation
solutions will make modeling and wrangling data
from disparate systems much less resource-
intensive and open up a new frontier of more
data inside each analysis, to answer bigger
questions.

4. 3Business Leaders will Expect a Drop-dead
Simple User Experience.
We all know the enormous success and
consumer penetration of smart phones,
consumer applications, new gadgets and gizmos.
They’ve set the bar on user experience
expectations. New data solutions will be
expected to be equally simple and require no
learning curve. Underlying the other overloaded
word in data, “self-service,” is the assumption
that business users will have solutions they can
use without IT help. Traditional unnecessary
complexities that include specialized syntax or
specialized workflows designed for data
scientists and IT experts will begin to fade away.
When working with data becomes drop-dead
simple, widespread adoption across business
users will truly take off. Everyday business users
will no longer view data analysis as frustrating or
intimidating. Instead, it will become pleasantly
addictive.

5. 4Cloud-based Analysis will become Pervasive.
Without an over-reliance on IT, business users
will ask new questions and find new answers at
an unprecedented rate. As organizations
continue to rely on various cloud-based services
for business-critical operations, data analytics in
the cloud will rise in popularity and the number of
deployments will explode. Amazon’s data
offerings are seeing a tipping point today.
Cloud-based analytics will become the norm, not
the exception, for business users’ data needs in
2015 and beyond.

6. 5New Solutions embedding Apache Spark will make
Performance on Big Data a Non-issue.
There’s no question Apache Spark delivers big
advances in processing data at scale. The
previous concerns from G2000 buyers on “what
about performance” that enters every
conversation when it comes to data variety and
volume, will also fade away as companies adopt
Spark-based data analysis solutions and
experience the snappiness of these solutions
first-hand. It will no longer be a theoretical
discussion centered on “my lab benchmark
versus your benchmark”. Users will instead,
witness the benefits as they toss more data into
Spark-based analytic solutions and experience
first-hand far better performance than traditional
BI or any other Big Data processing framework.

7. About ClearStory Data
ClearStory Data is bringing next-generation Data Intelligence to everyone in
order to accelerate the way businesses get answers across any number of
data sources. By dramatically simplifying data access to internal and external
sources, harmonizing disparate data on-the-fly, and enabling fast,
collaborative exploration, ClearStory Data’s end-to-end solution includes an
integrated platform and incredibly simple user application. The company is
backed by Andreessen Horowitz, DAG Ventures, Google Ventures, Khosla
Ventures, and Kleiner Perkins Caufield & Byers (KPCB).
www.clearstorydata.com