Data, Data, Data! All the facts, numbers, and everything in between that, when collected, can be analyzed and decisions made based upon them. Can’t live with it! Can’t live without it! This year over $14 billion will be spent globally on flowers, chocolate, and jewelry on Valentine’s Day alone. According to CIO Research, big data analytics investments are expected to be close to $187 billion. We are definitely investing more on data than expensive chocolates! The big question is, are your data investments nurturing your relationship with data the same way a bouquet of flowers and a box of chocolates can nurture your relationships?
When it comes to data analytics, people automatically think about a Cube. Over the last 10-15 years, business users and data analysts have become very comfortable with the methodology and the tools that have been built around that ecosystem. Then Big Data arrived. We all want it! We know there is value in it, however we don’t know how to deal with it. Or...do we?
Love For Data, In The Real World.
Typically when customers are trying to migrate to new technologies they want to keep the good things from existing technologies. The especially value OLAP or dimensional representation when it comes to business analysis.
Tyson Foods, a national leader in the food industry, uses IoT to capture data from sensors deployed in their 300 locations across 27 states. Add sales data, operations data, and supply chain data, and naturally, a large-sized data lake is created. Using AtScale, Tyson Foods was able to abstract data processing from the user experience, allowing business users to focus on what matters. Check out what Tyson Foods has to say about their big data strategy.
How Do You Know You Have a Big Data Problem?
Tyson describes their big data problem as a series of ‘medium data’ problems bunched-up together. This means that there are several EDW solutions, ERP, and Reporting systems that needed to be able to talk and look together at the same data source. To accomplish this, it was necessary to get rid of silos and find a cost effective way to seamlessly integrate these systems.
"The speed at which you deliver the insights to the business user is what makes you different"
Learn from Tyson Foods - register for best practices webinar.
Where Should You Start?
Want to know how to cost-effectively tackle your big data problems and get the most value from your architecture investments? We are teaming up with industry leaders who will share with us their best practices to create a Central Business Analytics Unit that delivers full self-service analytics to all, while governing access to enterprise data.
In This Session You Will Learn:
- How to deliver secured self-service access to 100% of your data.
- How large enterprises use their favorite BI tools on Big Data platforms to tackle the most challenging 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.