Big data, business intelligence and analytics will continue to have a substantial impact on the enterprise in 2016 with new research from TEKsystems showing that core technology topics are second only to information and cyber security for IT leaders across the globe. The next twelve months will see large corporations attempting to leverage new and innovative data technologies in order to gain important insights and power business intelligence.
The Internet of Things has resulted in an exponential rise in the sheer volume of data that is available to companies, but many will begin to cast their net wider in 2016 and look to derive value from data using every source possible – including information produced by geo location and sever logs. Scott Gnau, Hortonworks CTO for Hadoop distribution says that the “Internet of Anything” will enable firms to look beyond machines, sensors and devices and use geospatial and clickstream analytics in order to drive operational efficiency and meet rising customer demands. Gnau claims there is also a growing market for straightforward big data solutions, which will enable corporations to deliver initial analytics success in a shorter time frame and build a more data driven culture.
Gartner’s Magic Quadrant is an annual visual assessment of a vendor’s market position, and is typically skewed in favour of big players such as Oracle, IBM and SAP. However, this year we will see companies like Amazon Web Services, DataStax and Red Labs lead a shift towards NoSQL schema-less databases that offer increased flexibility and reduced complexity. The Apache Spark open-source-processing engine is also set to become the number one big data platform choice for enterprises this year. Tableau Software director of product marketing, Dan Kogan adds: “We see more and more compelling enterprise use cases around Spark, such as at Goldman Sachs, where Spark has become the "lingua franca" of big data analytics.
The International Institute of Analytics (IIA) has predicted that “cognitive” will be the new buzzword for 2016 as it becomes the follow-on to automated analytics. IIA claims cognitive computing, which handles complex problems of a human nature, and analytics will soon solidify in a manner similar to big data and analytics. The guidance setting body has also highlighted its top priorities for business strategy. These are:
- Aligning analytics and business strategies
- Leveraging existing analytics strength proportionately
- Retaining talented data scientists via curated leadership development and career programs
- Improving discipline regarding the intake and prioritisation of analytics projects
- Measuring the comprehensive value of analytics