Optimal Data Analytics Architecture

An explosion of Big Data is rapidly changing the IT landscape. While Big Data generates vast opportunities for new sources of revenue, customer insights and operational efficiencies, it also creates new challenges for existing data infrastructure. To keep up with this explosion and capitalize on new data-driven business opportunities, enterprises must select a data analytics architecture that fits the specific needs of their business and the structure of their data.
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Spotlight

OTHER ON-DEMAND WEBINARS

Applying Sensitive Data Intelligence to Multicloud Environments

Data is the lifeblood of any organization, but it comes with significant obligations. The continued growth in data volume, migration to hyperscale multicloud environments and rapidly evolving regulatory environments make it more challenging than ever to efficiently address these obligations. Traditionally organizations have used a variety of siloed tools that were generally not designed for petabytes of data in the cloud. Join Mahood Khan, Global CISO from CNA, along with Rehan Jalil, CEO from Securiti, as they share how CNA has embraced a Unified Data Controls paradigm to efficiently address data security, privacy, governance and compliance requirements with a common platform.
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Fixing OSA Issues by Leveraging Big Data Analytics

Generating incremental sales is always a priority for CPG companies. Over the past twelve months, there have been significant structural changes in the industry forcing CPG’s companies to reconsider their sales strategies to drive growth. Ultimately, the industry needs to respond to changing shopper behaviour and to redeploy resources to ensure on-shelf availability in retail is strengthened.
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Why IBM for Sales Performance Management?

FinTech

Improve sales performance and operational efficiencies with better management of incentive compensation plans and smarter administration of sales territories and quotas. Get faster insights with advanced analytics.
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DEMYSTIFYING DATA SCIENCE

analytics8.com

Most companies know that data science and machine learning can have a profound impact on their business, but they often struggle on where to start and how to augment their existing analytics solutions with advanced analytics. Check out this webinar to learn more about data science and machine learning it is not as hard as you may think to get started; and once you do, you will see immediate business value.
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