By Paul Ross on Dec 3, 2013 - 11:12am
Every year journalists, industry analysts and bloggersput together their end-of-year wrap-up articles or create a set of predictions for the coming year – so what I am about to do is certainly not original. However, I believe that 2014 is going to be an extremely important year for the people who use analytics, and so I feel that it is important to share what Alteryx thinks will happen in analytics over the next twelve months.
The list below covers a range of topics including customer analytics, predictive analytics, and Big Data analytics. It was put together by the brightest minds here at Alteryx (I helped a little), and we even had our partners Tableau, Cloudera, and Revolution Analytics share their thoughts on them.
Here is our 14 for 14:
- Analysts Will Matter More Than Data Scientists: Empowering analysts in business departments with Big Data and analytics will become more important than filling the perceived need for millions of data scientists.
- R Will Replace Legacy SAS Solutions and Will Go Mainstream: R-based analytics goes mainstream at the expense of legacy environments like SAS & SPSS. With over 2 million users and another 3 million analysts looking for better solutions, R’s time is now!
- Big Data Will Bring Its “A Game” in Sports Marketing: Analytics and Big Data will have another big year for Marketing, influencing advertising, promotions, and consumer behavior - especially during the World Cup and the Winter Olympics.
- Hadoop Moves From Curiosity to Critical: Hadoop moves beyond batch-based data processing and storage, to a general purpose compute infrastructure that will be core to the enterprise data fabric. This means analytics will continue to be the #1 use case for Big Data.
- Gartner’s Prediction that the LOB Will Drive Analytics Spend Will Happen! Gartner’s prediction that in 2014 40% of BI and analytics spend will happen in the line of business, will actually happen. Increasing analytic adoption will drive investments in cloud and easier-to-use tools.
- Visual Analytics Continues to Grow but Users Need More: The market for visualization products will continue to grow, but will require more analyst-level data blending and analytic capabilities to make its use successful.
- Analysts Lives Get More Complex but Also Easier: The life of a business analyst will get complex with technology such as Hadoop, and predictive analytics, but will also get simpler as the tools they use everyday evolve away from Excel to tools purpose built for them.
- Predictive Analytics Will No Longer Be A Specialist Subject: More analysts in business departments will be using predictive analytics than data scientists.
- Customer Analytics Is the Next Big Marketing Role: Customer analytics and the related Search Engine Marketing (SEM) roles will become the most critical parts of marketing groups. The marketing machine needs the right data to respond to new opportunities.
- A New Analytics Stack Will Emerge: A new data and analytics stack emerges with new solutions for databases, analytics, and visualization all disrupting the traditional mega-vendors. Mega vendors will respond with hastily produced solutions.
- Location Meets Big Data Analytics: More organizations will build spatial data and analytics skills into their teams to deal with the new information they are receiving from devices, consumers, and mobile technology.
- NoSQL Meets Analytics: The big data infrastructure one-two is completed as NoSQL’s move beyond operational databases to mixed workloads including analytics. MongoDB’s valuation will be validated by more shifts in the database market.
- The Hadoop Market Will Grow but Also Fracture: The Hadoop market will grow and fracture with more vendors distributing versions of Hadoop and creating more ways to access data. Analytic tools will need to connect to all of them, but have specialist support.
- Business Ownership of Analytics Will Ignite an IT Revival: Faced with analysts demands, IT organizations will form strategic partnerships with individual departments in order to remain more relevant to the overall data-driven needs of the organization.
Tweet your 2014 predictions for analytics to #14for14
Slides from Analytic Predictions for 2014 Webinar