Did you know that 9 out of 10 companies are only able to analyze less than half of the data they collect? In fact, 45% of these companies analyze less than one quarter of this data . Why is that? The answer is simple. We are generating more data than ever, 44 zettabytes by the year 2020 to be precise. What does this mean for you? A great data lake filled with extremely valuable potential to make better decisions for your company. Remember what Sherlock Holmes once said: “I can’t build bricks without clay!” We need data to answer complex questions.
Olympic Performance - How Do They Do It?
With global turnover (revenue) of £27.9B and 99,300 employees in 150 markets, GlaxoSmithKline (GSK) is a science-led healthcare company that has delivered hundreds of millions of vaccines around the globe. With those numbers, how do they handle their data? What does their modern data architecture look like? What is the secret to increasing data performance and improving the way that they access and make use of critical data in the process of bringing new drugs to the market?
You Need Answers. We've Got Them!
We are teaming up with industry leaders and CDOs, in a webinar session where they will unveil the best practices followed to build a Central Business Analytics Unit that delivers full self-service analytics to all, while governing access to enterprise data.
"The speed at which you deliver the insights to the business user is what makes you different"
In This Session You Will Learn:
- How to deliver secured self-service access to 100% of your data.
- How big enterprises use Tableau, Microsoft, PowerBI on Cloudera for Finance and IoT use cases.
- How you can reduce data lake costs by 98% with AtScale on your favorite Big Data platform while using the BI tools you know and love.
Plus, we will share best practices on how to achieve BI-on-the-Data-Lake nirvana: manage your big data while giving analysts self-serve access to the lake - on premise and/or in the Cloud, using existing BI tools.
Check out a sneak peek of how GSK is doing big data analytics