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Qlik, SDG Group Plan Second Data Integration & Analytics Virtual Summit For Life Sciences

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By Ifeoma Asika, Correspondent Campuses

Qlik, a leading provider of data integration and analytics solutions, together with SDG Group, a global data & analytics consulting firm, have firmed up arrangements to hold their  2nd annual Data Integration & Analytics Virtual Summit. The webinar is billed for  September 16 through  17, 2020.

Are you ready to transform your Life Sciences business with data? Are you ready to go from raw data to data-driven decisions? If your answer to these questions is yes, then, you have a chance to join the about  20 of the world’s leading life sciences organizations already relying  on Qlik to empower business users and decision-makers by providing access to on-demand analytics and insight anywhere, anytime.

The organizers know your time is valuable – so they have  split the content across 2 days and provided on-demand sessions you can watch at any time. All content will be available on-demand to all registered attendees post-event. Webinar attendees for both days will be entered into a raffle to win a YETI 45 TUNDRA COOLER.  However, Qlik and Qlik Partners  are excluded.

Qlik CEO, Mike Capone, will speak on how Qlik is Helping organizations  Lead with Data Through Challenging Times. Attendees will find the need to close the gap between data and outcomes has never been more important as they will hear about Qlik’s latest acquisitions and learn how leading companies are leveraging data and analytics more than ever to make pivotal decisions.

Attendees will learn from other leading Life Sciences organizations of their Qlik journeys and how to lead with data.

Also, they will hear from SDG Group, a global data & analytics consulting firm, and Qlik partner. SDG Group offers in-depth expertise that empowers its clients, which includes many of the world’s largest Life Sciences and Pharmaceutical companies to become data-driven.

Attendees will also understand how Qlik is at the forefront of 3rd Generation of BI in leveraging AI to drive data literacy and enrich their business decisions across the enterprise.

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