Data and Analytics Trends for 2019 and Beyond: A Panel Discussion

Gartner

Discussion Topics:
- How effective are your current data and analytics initiatives
- What trends will most impact how you utilize data and analytics in 2019 and beyond
- What must you do to maximize data and analytics in your organization
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Spotlight

This video shows you how to extract financial and other information from quarterly reports using Text Analytics in BigInsights on Cloud. Watch more videos in the BigInsights Learning Center at http://developer.ibm.com/clouddataser.

OTHER ON-DEMAND WEBINARS

Predictive Analytics vs. Data Science: Why We Built One and Not the Other

In this webinar, Heap’s head of Data Science, David Robinson, will talk about why we took a data-science-led approach to insights that starts with the questions teams actually care about. He’ll also talk about how a combined quantitative + qualitative platform gives teams the predictive information they need and the context that makes that information actionable.
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Data Science for Spreadsheet Users

DataCamp

In this webinar, DataCamp Account Executive Chris Cardillo will challenge anyone spending their days in and out of spreadsheets to pick up a coding language. He’ll cover the tangible benefits of incorporating coding into an everyday workflow, as well as examples of where coding enhances or replaces work done in spreadsheets. Finally, he’ll cover some R language equivalents for spreadsheet techniques, and where to get started when you’re ready to take the first step.
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Data Warehouse or Data Lake, Which Do I Choose?

Today’s data-driven companies have a choice to make – where do we store our data? As the move to the cloud continues to be a driving factor, the choice becomes either the data warehouse (Snowflake et al) or the data lake (AWS S3 et al). There are pro’s and con’s for each approach. While the data warehouse will give you strong data management with analytics, they don’t do well with semi-structured and unstructured data with tightly coupled storage and compute, not to mention expensive vendor lock-in. On the other hand, data lakes allow you to store all kinds of data and are extremely affordable, but they’re only meant for storage and by themselves provide no direct value to an organization.
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How Data Governance Helped Genworth Financial to See Data as an Asset

One of the biggest misunderstandings about data governance? An assumption that you need data governance only because you’re working with inherently low-quality or low-value data. The data governance team at Genworth Financial focused on changing the way the organization thinks about governance in order to improve how it captures, stores, transforms, analyzes, and presents data—which in turn unlocked their data’s full value.
Watch Now

Spotlight

This video shows you how to extract financial and other information from quarterly reports using Text Analytics in BigInsights on Cloud. Watch more videos in the BigInsights Learning Center at http://developer.ibm.com/clouddataser.

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