On Demand Webinars

Unified Data Delivery From Data Lake to Enterprise Data Marketplace

Trend Talks Webinars With the Analysts
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Event Description

For most organizations, digital transformation is creating a complex data landscape with hundreds or even thousands of data sources and multiple workload-specific analytical data stores. In addition, with so much data pouring into the enterprise, business users are buying their own self-service data preparation tools to integrate data independently of IT.

It seems everyone is integrating data with no attempt to share what they create. More and more silos are emerging, making it harder to manage and trust data. Unaware of the complexity, business executives are demanding more agility to remain competitive in a digital economy where customers can churn at the touch of a mobile phone screen. So how can companies remain agile and reduce the time to value when data complexity is on an upward trajectory?

In this webinar Mike Ferguson address this problem and show how companies can establish a strategy for delivery of trusted, unified data that speeds up data and analytical processing and shortens time to value.

Mike will discuss:

  • The data-driven enterprise – vision, expectation, and thirst for new data
  • Data complexity and challenges caused by the thirst for data
  • A siloed approach to managing and governing data
  • Conquering complexity, governing data, and accelerating time to value
  • Data lake, information supply chain, and data marketplace
  • Simplifying access to data
Mike Ferguson
Mike Ferguson
Managing Director,
Intelligent Business Strategies

Mike Ferguson is algemeen directeur van Intelligent Business Strategies Limited. Als analist en consultant is hij gespecialiseerd in Business Intelligence, Analytics, Datamanagement, Big Data en Enterprise Architectuur. Met meer dan 35 jaar IT-ervaring heeft Mike voor tientallen bedrijven advies ingewonnen op het gebied van Business Intelligence strategieën, het selecteren van technologie, Enterprise Architectuur en Datamanagement.

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