Nigel Mendonca of Tableau Software provides an overview of the five main trends in 2016 relating to business intelligence gathering and what this means for business operators seeking to gather and make use of their business data.
1. Data governance and self-service analytics become best friends
Many consider data governance and self-service analytics natural enemies. Our counterparts in the US and Europe are seeing signs this war is nearly over, with the cultural gap between business and technology rapidly closing.
It’s a common topic of discussion; however, there is work to do in Australia and New Zealand. Organisations are beginning to acknowledge that when approached the right way, data governance can nurture a culture of information empowerment, while still protecting the company’s interests.
People are more likely to dig into their data when they have centralised, clean, fast data sources and know someone (IT) is looking out for security and performance.
2. Advanced analytics is no longer just for analysts
No longer is analytics confined to IT or BI Departments. In Australia, we are seeing leaders in businesses support functions use data analytics to present to the C-Suite.
Organisations will readily adopt platforms that let business users analyse their own data, see trends, ask questions and predict future outcomes for the areas of business they understand intimately.
3. Data integration gets exciting
With the rise of sophisticated tools and the addition of new data sources, companies will stop trying to gather every byte of data in the same place.
Data explorers will connect to each set where it lives using more agile tools and methods. Users must identify and extract the data they need, then integrate it quickly with other data across multiple systems to support analysis.
To meet this demand, we have seen growing adoption of tools like Alteryx, Lavastorm and Informatica. These tools are in turn integrating with end user analysis tools like Tableau to simplify the end-to-end flow of data.
4. Mobile analytics stands on its own
Mobile analytics has grown up and moved out. It’s no longer an interface to legacy business intelligence products.
In 2015, products with a fluid, mobile-first experience began to emerge. We are seeing these products mature and begin to address the complexities of enterprise deployments, such as the need for information to be transmitted and stored securely across all devices.
5. Big data grows up: Hadoop adds to enterprise standards
To keep up with the ever-increasing amount of data, companies need to invest in a big data solution. As Hadoop quickly gains traction in enterprise, there are raising expectations of fast data exploration.
To meet user demand, there is a growing adoption of technologies such as Spark, Cloudera Impala, At Scale, Actian Vector and Jethro Data, enabling Hadoop to further blur the lines between ‘traditional’ BI and the world of ‘big data’.
Be warned, if you don’t invest in technology that supports this, you will be left behind in the data swamp. We will see organisations shift away from single solutions and embrace an open and flexible stack that includes a range of new, agile technologies.
Nigel Mendonca is the country manager in Australia and New Zealand at Tableau Software, a business intelligence and data analytics firm.