COMPETE WITH THE GIANTS 7 ELEMENTS OF A DATA STRATEGY

analytics8.com

For most companies, data is viewed as a problem instead of an asset. Data is often stuck in systems that dont talk to each other, manual processes affect data quality, and analytics tools arent providing clear insights. But those companies who use their data to drive business strategy are out-performing their competitors.  To be more competitive in any industry, you must take advantage of the ever-growing amount of available data and that starts with a Data Strategy. A documented roadmap that clearly defines company goals and the specifics on how to get there will put you on the path towards data driven decision making.
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Spotlight

There is major hype around Big Data and it's ability to solve myriad healthcare problems. Not all agree, however, and they see it as just one of the tools that can enable a transformation of the healthcare industry. Something that has promise but linitations too…

OTHER ON-DEMAND WEBINARS

How Law Firms Leverage Data to Optimize Productivity and Case Management

Join Datavative and The Johnson Firm to learn how law firms of all sizes leverage the Domo platform to manage and optimize productivity and case management. No matter if you are a plaintiff firm, defense firm, corporate firm, or retail firm, Domo will help you increase revenue while decreasing expenses.
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Citrix Moves Data to Amazon Redshift Fast with Matillion ETL

Amazon Web Services, Inc

Citrix, a Fortune 1000 multinational software company, needed to migrate massive amounts of data generated by its FileShare platform to Amazon Redshift, where it could perform data analytics to help inform product improvements and drive success. To do this, Citrix needed an Extract, Transform, and Load (ETL) solution. Matillion ETL, easily deployable from Amazon Web Services (AWS) Marketplace, helps Citrix collate and summarize data and augment it with more traditional business data from Microsoft SQL Server for additional context. Join our webinar to learn how organizations of any size can move data to the cloud quickly, accurately, and affordably with Matillion ETL.
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Expert Panel: Automating Data and Analytics in the Cloud

As data and analytics environments become increasingly complex, organizations can no longer afford to perform many operations manually. According to TDWI research, automation (in general) is one of the top three priorities for analytics. We see automation occurring throughout the data and analytics life cycle. Automation increasingly leverages embedded AI/ML algorithms (i.e., infused in the software) to help perform tasks such as profiling and cleansing data, identifying sensitive data, data mapping, surfacing insights, or building machine learning models.
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Democratizing Data Science With No-Cod

The pace at which the field of data science is expanding makes it impossible for the enterprises to catch up to the state of the art solutions. To avoid falling short of the demands of burgeoning digital revolutions, solutions like APIs, drag and drop analytics, low code and even no-code have been developed. For instance, no-code tools bridge the gap between domain expertise and niche skills of the developers. Know more about why enterprises are increasingly leaning on no code solutions in the upcoming webinar being organised by Analytics India Magazine in association with HP.
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Spotlight

There is major hype around Big Data and it's ability to solve myriad healthcare problems. Not all agree, however, and they see it as just one of the tools that can enable a transformation of the healthcare industry. Something that has promise but linitations too…

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