Remove Data Modelling Remove Data Warehouse Remove Vision
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Top Opportunities for SAP Partners in 2023

Timo Elliott

All the industry analysts have a similar vision of what that agile future of business looks like. And it’s not just a technology vision — it’s also about how organizations have to rethink how they optimize business processes, business capabilities, and the business ecosystem. But how do they do that?

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Putting the Business Back Into Business Innovation

Timo Elliott

The industry analysts all have a similar vision of what that agile future of business looks like. Most innovation platforms make you rip the data out of your existing applications and move it to some another environment—a data warehouse, or data lake, or data lake house or data cloud—before you can do any innovation.

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Why Avalanche and DataConnect are Better Together … Part 1

Actian

The Challenges of Connecting Disparate Data Sources and Migrating to a Cloud Data Warehouse. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Vision is Great, but Realizing That Vision can be Difficult.

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Customer Success: Earning Trust Through Partnership

Sisense

Learning about their day-to-day needs and long-term vision allows us to use our internal expertise to map out a customer journey and guide them each step of the way. Re-architecting Sisense into its current cloud-native form delivers even better connections to a cloud data warehouse, which almost every company is using or will use soon.

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Why CIOs Should Weave Data Fabrics Into Their Orgs

Domo

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access. The bottom line.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

Advanced vision and attention to detail: By its very nature, business intelligence is incredibly detail-oriented. You will need a great deal of forward-thinking vision and the ability to pay very close attention to detail to succeed in the fast-paced world of BI. Business Intelligence Job Roles.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. The program manager should lead the vision for quality data and ROI.