Data analytics and business intelligence (BI) initiatives have become mission-critical, but today, it is simply taking too long to arrive at insights. 90% of the time that it takes to generate insights lies in human labor, and that labor is significantly tied to data preparation. Join subject matter experts from Storage Switzerland and Promethium for an in-depth look at what’s wrong with data analytics today, and how a self-service data analytics and governance strategy can empower organizations to avoid spending months searching for, collecting and preparing data.
At the heart of the problem, data analytics queries typically start with a data engineer or scientist spending weeks or months searching through file names, table names and data sets stored across multiple data repositories and vendors. This cumbersome process requires identifying what data is relevant, where that data is located, and what data needs to be moved. It also requires determining how that data needs to be cleaned and integrated, and who has access to that data. At the end of the day, this arduous and time-consuming process might not even result in the right answer to the business question being addressed. Instead of starting with the question “what data do I have?” what if you could start with question you are trying to answer? In this webinar we’ll show you how to get to answers faster and with a higher degree of accuracy.
Attend our on demand webinar discussion to learn how to solve the four key problems that are causing your analytics queries to take months, when they should take minutes:
- Disconnect from what the business needs and what IT understands
- Technical knowledge of data required to perform a non-technical task
- Manual processes to find data, pull data, and assemble data requiring multiple teams
- Lack of visibility into possible relationships that exist across all data sources and types compromising value of insights
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