6 Ways Business Intelligence is Going to Change in 2017

6 Ways Business Intelligence is Going to Change in 2017

6 Ways Business Intelligence is Going to Change in 2017

Data-driven businesses arefive times more likely to make faster decisionsthan their market peers, and twice as likely to land in the top quartile of financial performance within their industries. Business Intelligence, previously known as data mining combined with analytical processing and reporting, is changing how organizations move forward.

Since decisions based on evidence are entirely more reliable than decisions based on instinct, assumptions or perceptions, it’s become clear that success is now cultivated from analyzing relevant data and letting the conclusions of that data drive the direction of the company.

Although it’s become crystal clear thatdata-driven strategyis the way to go, up until recently, access to sophisticated Business Intelligence tools has been restricted to large enterprises and enterprise-level solutions. Only the industry giants have benefitted from sophisticated analytics due to the considerable investment required not only to collect the data, but also to maintain an in-house data scientist to translate it into usable information.

Read Also:
How manufacturers make the most of machine data

But 2017 is the year of change.

SMBs are desperate to take advantage of the same analytics as the big players, and are therefore demanding an alternative – self-sufficient Business Intelligence tools. More than half of business users and analysts areprojected to have access to self-service Business Intelligencetools this year. According to Gartner’s Research Vice President Rita Sallam,BI is rapidly transitioningfrom “IT-led, system-of-record reporting to pervasive, business-led, self-service analytics.”

Thanks to more intuitive interfaces, increasingly intelligent data preparation tools, improved integrations and a distinctly lower price tag, 2017 is the year SMBs become empowered to become their own data scientists. Here’s what to expect this year:

The good news for SMBs is that complex data analytics is becoming more cost effective, and as a result, considerably more accessible. In 2017, we expect to see the trend continue to grow asmore players enter the market. The wave of new, self-service BI tools allows SMBs to gather, analyze and interpret data, draw detailed analytics and discern trends, filter useful information from the raw data and automate data mining for quicker turnaround.

Read Also:
Why Custom Analytics Is Not Always The Best Choice

BI innovations are becoming more widely available through a variety of integrations into messaging services and IoT.Sisense, for example, is rolling outvoice-activated BI interfacesfor Amazon Alexa, chatbots and connected lightbulbs. “Our entire focus is on simplifying complex data,” CEO Amir Orad comments.

Alexa handles the natural language processing of voice-to-text, and then “understands” the question it was asked.



Data Innovation Summit 2017

30
Mar
2017
Data Innovation Summit 2017

30% off with code 7wData

Read Also:
Why the promise of big data hasn’t delivered yet

Big Data Innovation Summit London

30
Mar
2017
Big Data Innovation Summit London

$200 off with code DATA200

Read Also:
Analytics-as-a-Service: turn your Big Data ambitions into action

Enterprise Data World 2017

2
Apr
2017
Enterprise Data World 2017

$200 off with code 7WDATA

Read Also:
Analytics-as-a-Service: turn your Big Data ambitions into action

Data Visualisation Summit San Francisco

19
Apr
2017
Data Visualisation Summit San Francisco

$200 off with code DATA200

Read Also:
Apps don’t make a city smart
Read Also:
Data Scientist Breaks State Monopoly on Lotteries

Chief Analytics Officer Europe

25
Apr
2017
Chief Analytics Officer Europe

15% off with code 7WDCAO17

Read Also:
How Patient Safety Organizations Encourage Data Collection, Quality Care

Leave a Reply

Your email address will not be published. Required fields are marked *