Using data visualisation to meet business objectives

Read time 1min 40sec
Valencia Cleinwerck, data solutions manager at Pernod Ricard.
Valencia Cleinwerck, data solutions manager at Pernod Ricard.

Data visualisation - presenting data in a graphical or pictorial form - enables decision-makers and other audiences to quickly grasp difficult concepts and identify new patterns.

ITWeb Business Intelligence & Analytics Summit 2019

ITWeb's next annual BI & Analytics Summit will be held from 12 to 14 March 2019, at The Forum, Bryanston. This year's event is themed 'Being intelligent about business data' and will focus on the practical applications of data analytics and BI into the business. Click here to book your seat and take your BI and analytics projects to the next level.

According to Valencia Cleinwerck, data solutions manager at Pernod Ricard, visualisation lets the data tell a story. Visual access to large amounts of data helps the viewer make quick decisions, identify areas that need attention, view trends history and forecast more accurately, she says.

It also clarifies factors that influence behaviour, which helps businesses understand their products and identify any shortcomings.

A 'must-have'

If business intelligence is the driving force behind actionable decisions and insights, data management is the heart of this engine. "Better data management leads to better, and more available, data. More and better data leads to better analysis, which translates into better insights, business strategies, and higher profitability," she explains.

"It's not a nice-to-have, it's a must-have," she adds. "The difference between a successful business intelligence competency and one that isn't, is the data management and data operations. A team is only as agile as its data architecture and data management operations."

Cleinwerck will be presenting on 'Putting data visualisation to work to meet your business objectives' at the ITWeb Business Intelligence & Analytics Summit 2019, to be held from 12 to 14 March at The Forum in Bryanston.

She will identify subjective and objective methods to assess and measure data quality. She will examine process improvement methods to eliminate root causes and prevent future defects, as well as give attendees an understanding of how to position users as stakeholders in data quality improvement processes.

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