The definition of data analysis has evolved over the years. Businesses have been using basic analytics (using spreadsheets) since a long time now to recognize patterns and trends in data, and this unearthed information could be used for future decisions.
But today, with the advent of BI technologies, dictated by data-driven culture in the companies, businesses can identify insights for immediate decisions. The ability to work faster and stay agile, gives organizations a competitive edge, they did not have before. This is possible with the effective data visualizations and analysis offered by the various software tools in the market today.
Next in the Analytics Lifecycle webinar series, we cover the topic on Data Analysis. In Session 5: Data Analysis, we compare the analysis capabilities of the tools – SAP Analytics Cloud and Microsoft Power BI.
The Webinar includes the following topics:
- Slice & Dice and Navigation possibilities
- Ranking & Sorting
- Quick Search & Smart Discovery / Insights
Interesting? Watch the webinar now !!!
Senior Consultant Data & Analytics, Datavard
Data and Analytics Consultant, Datavard
Register to watch the on demand webinar now.
Create value from your data
Data is the oil of the future. But the key lies in what we are doing with it.
To make intelligent business decisions and sound strategies data management alone is no longer sufficient. You also need to identify relevant data sources.
Drawing hidden insights and value from data by connecting, transforming, and then making the data accessible via different channels to decision makers anytime, anywhere, puts you ahead of your competitors.
So, which one is the best fit for your company?
With the countless analytics tools and technologies on the market, it is difficult to identify one solution that is right for your needs.
Within a series of webinars covering the full analytics lifecycle, we take a closer look at the two solutions Microsoft Power BI and SAP Analytics Cloud and highlight their strengths and weaknesses at all stages of the lifecycle. We will look into topics such as different ways of acquiring data, preparing data, visualizing and analyzing the information and ultimately sharing tangible insights.
Join us on this journey and make your analytics strategy future-proof!
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