On the journey from data to analysis to insight, companies are shifting from a traditional approach and leaping forward into new ways of delivering actionable business intelligence.
While the core goals remain the same — enabling data-driven decisions, optimizing cost efficiencies, and driving revenue growth — new tactics demand new skills. The pivot to a use-case model and good governance throughout the data lifecycle meets those challenges while also delivering faster time to insight.
The new data mindset is purpose-driven. Based on specific use-cases generated by the business, today’s data teams build, deploy, and configure purpose-built data assets that meet the organization’s needs fast.
This streamlined process represents a significant shift from the status quo for traditional data teams, but the streamlined workflow pays off. To generate fit-for-purpose data, start here:
Establishing a data asset creation workflow pays off in efficiency and value for IT and the business units involved.
Learn more about how to develop data as an asset >>
Traditional data warehousing models impose a high cost for integrating disparate data sets. A legacy workflow might include:
Today’s businesses don’t have that long to wait for insights.
Modern data technologies like Hadoop make it possible to stage data in a platform for immediate access. To structure your data and technology architecture toward a use-case driven model that fosters speed to insight key considerations include:
Once you adopt methods for analyzing data in place, your team can deliver value on a much shorter timeline.
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The demand for data-driven insights continues to accelerate. Companies at the forefront of the shift from volume to velocity use analytics pervasively throughout their organization and have the technology and agility to act on insights quickly.
To become a competitive, speed-driven organization, your business must excel throughout the analytics lifecycle:
That final step involves your organization’s data literacy. Providing insights is one thing, but training your people to take the next right action on the data they see might require new skills. Upskilling the workforce to better understand and use data pays off richly in transformative accuracy, speed, and confidence.
Learn more about building data literacy within your organization >>
As the volume of available data continues to increase, businesses are building complementary abilities to understand and use it. But implementing tools and technology to harvest, integrate, and analyze data without robust governance frameworks opens companies up to significant risk.
Building strong governance into your data asset creation and management workflows from the start can help.
Learn more about how to implement good data governance >>
As the world becomes more digital, and more customer behaviors move to a mobile context, businesses are changing to meet and match digital footprints with geospatial dimensions. Leadership must keep pace
The need for a Chief Data Officer (CDO) at the table isn’t really a question anymore. Today, leading companies are asking where analytics and digital belong in the leadership playbook. To get the most value out of your data management, the right team members — with the right support and authority in place — could not be more important.
Learn more about the importance of empowering your CDO >>
Data management can be complex. A strategic viewpoint can help. Find out more about Fusion’s approach to strategic data management, or ask us your questions. Wherever you are on your data journey, we can help you keep moving forward.