Data Management, Governance & Analytics
Organizations today have more data about products, services, customers and transactions than ever before. Hidden in this data are vital insights that can drive business results. But without comprehensive, well-governed datasources, decision-makers cannot be sure that the information they are using is the latest, most accurate version. As data volumes continue to grow, the problem is compounded overtime. Businesses need to find new ways to manage and govern the increasing variety and volume of data and deliverit to end users as quickly as possible and in a trusted manner, regardless of the computing modality.
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Oct 06, 2020, 3:00-4:00pm UTC+1
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Unique Challenge
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Difficulty handling customers’ requests while parts of information about each one of them are in many fragmented systems or applications
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Dissatisfaction with speed to respond to cross-sell or upsell opportunities
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Multiple data silos
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Multiple business units and no single view of customer
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Store redundant information for same customer
Expected Benefits
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Get a 360-degree view of critical data entities such as customers, patients, citizens, locations, suppliers, and products
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Gain actionable insight, instant business value alignment, and compliance with data governance, rules, and policies across the enterprise.
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Deliver always on/zero downtime customer experiences
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Empower business and IT users to collaborate and innovate with trusted master data across the enterprise.
Questions
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With the availability of data mining tools and methodologies, How does data replication help improve ROI for enterprises?
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How does data tools & platform help data science teams in enterprises as well as help organizations maximize their investments
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How does today's modern data platforms solve the problem of data silos.
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89% of businesses struggle with managing data. How important is data warehouses to enterprise data strategies?
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Why's Cloud technology so important to a successful data strategy in enterprises?