President’s day is the perfect opportunity to explore, honor and remember the legacy of Washington, Lincoln and other presidents. It is also a great day for all those who are looking for a good sale at their favorite retail or online store. What does this mean? Hundreds of millions of sales transactions will generate enormous amount of financial and inventory data will be generated on this one day.
How can this data be consumed more effectively? How can you increase the speed at which the data insights are being delivered to the business users? Take any of the leading hardware stores as an example: how do you possibly deliver self-service and interactive reporting to 2500 business leaders when you have 200 TBs of big data, generated by activity from 100MM Store SKU combinations that live in a traditional EDW (which grows bigger and more complex every day)?
One of the most popular big data trends in the industry is to implement a reporting solution on top of existing data sources. There are costly challenges that come along with following this trend: security, performance, silos, query languages, just to name a few.
The Good News
Where there is a challenge, there is an opportunity, especially when it comes to Big Data.
- Need to get rid of data silos? Check
- MDX or SQL, why not both? Check
- No data movement, No ETL, faster insight to action??? Check!
Let us show you what retail leaders are doing to deliver ad-hoc analysis on Big Data. We are teaming up with industry leaders that 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.
"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 Big Data platforms 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.