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Business Intelligence trends for 2017

15th June 2017

Business Intelligence trends for 2017

In recent years business users have become empowered by the ability to harness data, and organisations that recognise the value of their data have gained competitive advantage as a result.

The road has not been without problems. Old-fashioned B.I., comprising reports requested from a busy I.T. team has been superseded by a more agile approach to B.I. and thanks to governed data, self-service analytics and I.T./Business partnerships organisations are becoming able to deliver maximum value from their data.

So, what trends do we anticipate for 2017 and beyond?

1. B.I. for the many not the few

The ability to use data analytics will shift from an elite group of data analysts into the hands of the many. This will enable data insights at all levels of the business and empower workers at all levels to make better decisions.

2. Harnessing the power of data

Data management and data governance techniques will ensure that data users have transparent access to relevant data without having to worry about where it is stored, what format it is in, and so on. Data simply becomes an asset to be used for business benefit.

3. Growth in self-service

Self-service data discovery is becoming standard in many organisations whereas the harnessing of the data itself has remained in the hands of I.T. and data specialists. We will see a trend towards self-service data preparation, if not in its entirety but covering certain data prep tasks such as data parsing, data imports and data wrangling as these tools are released to business users.

4. Data sharing

Data sharing of live, interactive workbooks and dashboards will become the norm thanks to easy access to governed data and analytic tools. Alerts will ensure that workers are connected to their data and able to share with colleagues offering all of the business benefits that improved communication can deliver.

5. Move towards advanced analytics

Predictive analytics, forecasting and business modelling, once the domain of data scientists, will trend towards the business user as B.I. software becomes able to deliver this complex functionality to data user.

6. Transition to the cloud

Cloud analytics will grow as more organisations recognise the ability to implement faster and in a more scalable way.

7. Embedded B.I.

Rather than Business Intelligence being deployed in a stand-alone environment the trend is for analytics to be embedded in the applications that people use every day.

8. Data literacy

Data literacy is becoming a core competence for professionals in all business areas. In addition, people are growing to expect intuitive B.I. systems to be available to support their decision-making at every business level.

9. More natural access to information

The trend towards data access through natural language interfaces is an exciting area to observe.

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