Enabling the Third Wave of Analytics: Embedded BI Takes Center Stage

GoodData

Today’s data-savvy companies actively seek ways to enhance their approach to analytics and evolve out of the past.  While the first wave of BI involved static, rigid, IT-owned systems, and the second expanded the capabilities to a more business-facing analyst set, the third wave aims to infuse analytical activity into multiple layers of non-technical business roles.  As a key strategy to enable this third wave, companies today are exploring an embedded approach that places analytical activity directly in the context of everyday user applications, and the independent software vendors (ISVs) and enterprises providing those applications have taken notice of this trend.  Done efficiently, embedded analytics promotes faster deployment and pervasive usage of analytics for end-users while delivering a competitive advantage and the opportunity for new revenue streams for software vendors and enterprises.
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Spotlight

This report looks at the data lake and data lakehouse approach to analytics, highlights the key vendors in this space, and aims to assist organizations in their decision-making process to select the solution that best suits their needs. Cloudera’s data lakehouse solution is rated as a Leader and a Fast Mover. Download this repor

OTHER ON-DEMAND WEBINARS

Journey to the Cloud, Self-Service BI, and Data Lakes with Data Virtualization

denodo

Denodo DataFest, the premier agile data management and analytics conference, returned once again to New York and London in 2018. Our annual user conference brings together industry analysts, subject matter experts, business leaders, data management leaders to discuss data strategies to enable a successful journey to the cloud, self-service BI, and data lakes with data virtualization. The event invited attendees to watch demos, hear customer success stories, and educate themselves on the best practice implementations of data virtualization.
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Applying Governance to Business Processes

dataversity

The most effective way to formally govern business processes is to apply governance to the process rather than redefine the entire process. This is one of the core tenets to Non-Invasive Data Governance and it assumes that your business processes are defined in the first place. In this month’s RWDG webinar, Bob Seiner will address how to apply formal Data Governance to existing processes and how to engage governance communities when defining new business processes. There is a distinct advantage to taking the Non-Invasive Approach to apply governance to business processes and Bob will detail this advantage during this month’s webinar.
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DataEd Webinar: Essential Reference and Master Data Management

Data tends to pile up and can be rendered unusable or obsolete without careful maintenance processes. Reference and Master Data Management (MDM) has been a popular Data Management approach to effectively gain mastery over not just the data but the supporting architecture for processing it. This webinar presents MDM as a strategic approach to improving and formalizing practices around those data items that provide context for many organizational transactions: its master data. Too often, MDM has been implemented technology-first and achieved the same very poor track record (one-third succeeding on-time, within budget, and achieving planned functionality). MDM success depends on a coordinated approach typically involving Data Governance and Data Quality activities.
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Data Visualization to Educate and Informs + Audi Case Study

This webinar will provide insight into how you can leverage visual technologies and digital display solutions—like Userful's Visual Networking Platform—for data visualization that engages and informs.
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Spotlight

This report looks at the data lake and data lakehouse approach to analytics, highlights the key vendors in this space, and aims to assist organizations in their decision-making process to select the solution that best suits their needs. Cloudera’s data lakehouse solution is rated as a Leader and a Fast Mover. Download this repor

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