10 reasons to be excited about data analytics in 2017

10 reasons to be excited about data analytics in 2017

10 reasons to be excited about data analytics in 2017

10 reasons to be excited about data analytics in 2017
Follow me on Google+ , LinkedIn , Twitter
We live in an exciting time of accelerated innovation and heightened global competition, full of unprecedented levels of opportunity for analytics professionals. The exponential growth of data and intelligent things in an environment of ubiquitous Internet connectivity is enabling a fourth industrial revolution—digital business transformation.
Information is vital to evolving digital businesses because analytics touches everyone. Indeed, in the modern business environment every business is in the business of analytics. What, then, should we expect to see in the analytics industry as we head into 2017? Here are my top 10 predictions:  
Cognitive computing technologies such as IBM Watson progress from successful early adoption into early majority. In 2016, we saw cognitive, deep learning and natural language technologies take on increasingly prominent roles in businesses while capturing news headlines around the world. In 2017, this strategic analytics technology will become a must-have in analytics roadmaps.
 
Embedded analytics continues to retain the top spot in self-service analytics technology growth. The years leading up to 2017 have seen an analytics-based cultural shift toward data-driven decision making. Accordingly, we have seen a growing need for bringing analytics closer to the user—in the app, when and where decisions are made. In 2017, we will see cognitive, predictive and prescriptive analytics increasingly being embedded into line-of-business apps.
 
Cloud and hybrid analytics continue growing in 2017, even in historically cloud-unfriendly markets. Infrastructure in our increasingly connected world is getting better and is almost invisible in mature markets. Cloud fears are expected to ease as more organizations witness the triumphs of early adopters. Compelling transfer of data security risks to modern cloud providers will bring executives peace of mind. Instant, easy cloud solutions  continue to win the hearts and minds of users. Finally, the cloud will accelerate time to market, allowing innovation at faster speeds than ever before.
 
Intelligent Internet of Things (IoT) use expands in 2017 from innovators to early adopters. Digital devices will become ever more pervasive, delivering the power of cognitive-enabled systems to homes and offices as well as throughout the external world.
 
Streaming analytics and data ingestion technologies are adopted in conjunction with the Internet of Things to import, monitor and understand in real time what is happening. Predictive algorithms will detect exceptions and provide proactive alerts about notable changes in data patterns.

Read Also:
How the Most Successful Companies Effectively Leverage Data and Analytics for Problem Solving

 



Data Science Congress 2017

5
Jun
2017
Data Science Congress 2017

20% off with code 7wdata_DSC2017

Read Also:
Success Criteria for Process Mining

AI Paris

6
Jun
2017
AI Paris

20% off with code AIP17-7WDATA-20

Read Also:
The Much-Needed Business Facet for Modern Data Integration

Chief Data Officer Summit San Francisco

7
Jun
2017
Chief Data Officer Summit San Francisco

$200 off with code DATA200

Read Also:
Why Nissan’s CEO says the human brain still trumps artificial intelligence

Customer Analytics Innovation Summit Chicago

7
Jun
2017
Customer Analytics Innovation Summit Chicago

$200 off with code DATA200

Read Also:
Artificial intelligence swarms Silicon Valley on wings and wheels

HR & Workforce Analytics Innovation Summit 2017 London

12
Jun
2017
HR & Workforce Analytics Innovation Summit 2017 London

$200 off with code DATA200

Read Also:
The Phases of Hadoop Maturity: Where Exactly Is it Going?

Leave a Reply

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