This data is hard to analyze using traditional analytics although it contains

This data is hard to analyze using traditional

This preview shows page 8 - 12 out of 22 pages.

This data is hard to analyze using traditional analytics, although it contains valuable information. MISALIGNMENT WITH IT Business units shouldn’t have to depend on IT for data analytics. They should be able to do it themselves. One reason? IT is under constant pressure to keep delivering more at lower costs, so data analytics requests may end up at the bottom of their list. UNCONNECTED SYSTEMS Organizations often use multiple information storage systems side by side with no – or, at best, unwieldy – connections between them. These systems may offer conflicting information because they use different sources, processing methods or naming conventions. 1 2 3 4 All of these challenges can be overcome by defining a road map toward better data analytics. 8 TOC Becoming a data-driven organization
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TELIA DENMARK, WHICH PROVIDES INTERNET, PHONE AND TELEVISION SERVICES, IS PART OF THE TELIA COMPANY – THE FIFTH-LARGEST TELCO IN EUROPE. TO ADDRESS GDPR REGULATIONS, TELIA DENMARK USED SAS TO HELP IT LOCATE AND IDENTIFY PERSONAL DATA ACROSS ITS MANY LEGACY DATA SOURCES. Under GDPR regulations, companies must be able to document their processes for obtaining and storing personal data – and their ability to identify and extract all personal data related to an individual. To ensure that all personal data is located and identified in its systems, Telia Denmark designed a data discovery process and a set of rule files. This is not as simple as it sounds. For example, a telephone number is a personal identifier, but a telco customer may also be identified in a number of other unique ways, such as through a SIM card number, an IMEI or IMSI number. Telia Denmark used SAS software to carry out data discovery processes on many separate IT systems that contained personal data. Now the company can live up to GDPR demands of being able to identify and locate personal data within its own systems. So, if a customer wants to exert his or her right to have files deleted, a command to all Telia Denmark systems can be created to ensure this will happen. DENMARK | GDPR COMPLIANCE Analysts at Gartner estimate that 80 percent of all enterprise data today is unstructured. Source: The Big (Unstructured) Data Problem. Forbes Technology Council. According to an IDG survey, 45 percent of business leaders cite unstructured data as their single biggest hurdle to overcome in analytics. Source: 2016 Data & Analytics Survey. IDG 80 % 45 % ZOOM-IN ON Telia Denmark 9 TOC Becoming a data-driven organization
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The three foundations of better analytics
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Technological improvements within analytics platforms make it possible for more companies to become data-driven – by enabling them to manage their data better, run more complex analyses and visualize outcomes in a more understandable way. With the right technical foundation, you’ll be well on your way to becoming a data-driven organization.
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