Press Release Business Intelligence

Tableau Software: Top 10 Trends in Business Intelligence for 2014

Tableau Software has released its list of the ‘Top 10 Trends in Business Intelligence for 2014’, identifying the biggest trends in data and analytics for this year

1. The end of data scientists. Data science moves from the specialist to the everyman. Familiarity with data analysis becomes part of the skill set of ordinary business users, not experts with “analyst” in their titles. Organisations that use data to make decisions are more successful, and those that don’t use data begin to fall behind.

2. Cloud business intelligence goes mainstream. Organisations that want to get up & running fast with analytics drive adoption of cloud-based business intelligence. New scenarios such as collaboration with customers and outside-the-firewall mobile access also accelerate adoption. The maturation of cloud services helps IT departments get comfortable with business intelligence in the cloud.

3. Big data finally goes to the sky. Cloud data warehouses like Amazon Redshift and Google BigQuery transform the process of building out a data warehouse from a months-long process to a matter of days. This enables rapid prototyping and a level of flexibility that previously was not possible. Cloud offerings like Teradata Cloud and SAP HANA from traditional vendors validate the space.

4. Agile business intelligence extends its lead. Self-service analytics becomes the norm at fast-moving companies. Business people begin to expect flexibility and usability from their dashboards. And the monolithic infrastructure stack finally crumbles in favour of solutions that can work with new data sources.

5. Predictive analytics, once the realm of advanced and specialised systems, will move into the mainstream as businesses seek forward-looking rather than backward- looking insight from data.

6. Embedded BI begins to emerge, in an attempt to put insight directly in the path of business activities. Analytics start to live inside of transactional systems. Scenarios like customer relationship management will lead the way with analytics providing support for the many small decisions salespeople make in a day. Ultimately, embedded BI will bring data to departments that have typically lagged: for example, on the shop floor and in retail environments.

7. Storytelling becomes a priority,as people realise that a dashboard deluge without context is not helpful. Stories become a way to communicate ideas and insights using data. They also help people gain meaning from an overwhelming mass of big and disparate data.

8.For leading-edge organisations, mobile business intelligence becomes the primary experience,not an occasional experience. Business users are able to demand access to information within the natural flow of their day, not back at their desks.

9. Organisations begin to analyse social data in earnest,gaining insight beyond number of their likes and followers. Social data becomes a proxy for brand awareness and attitude, as well as fertile ground for competitive analysis. Companies begin to use social data to understand how relevant they are to their customers.

10. NoSQL is the new Hadoop. Organisations explore how to use unstructured data. NoSQL technologies become more popular as companies seek ways to assimilate this kind of data. But in 2014, the intelligent use of unstructured data will still be the exception and not the norm.

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