A Path to Exceptional Organizational Performance: Data-Driven Value Stream Transformation

Headquartered In: Canada
Company Size: 500+ Employees
Industries: All
Titles: IT, Analysts, Data Warehouse, Business Intelligence except Cybersecurity
Job Level: Manager+

In today’s disruptive and accelerated changing environment, competition and evolving customer desires create pressure to deliver new value. But the systems and processes that made you successful in the past aren’t optimized to support the changes you need to make today. As things change, problems arise, delays happen, and people get blamed. Organizations that don’t innovate fast enough risk becoming irrelevant.

The need to transform at the pace of industry change has never been higher. A global survey of 200 data and analytics leaders identifies three common factors in organizations that succeed with data-driven transformation.

Collaboration between business and technology leaders, plus support for transformation from company executives.
A culture in which data, analytics and cloud strategies align with business objectives.
A trusted foundation of data that data-literate employees can use to uncover valuable business insights.

Top reasons our community cites for adopting or considering this solution:

IT and business groups work together, but you know you can do more with your data.
You get too many urgent, ad-hoc requests from the business.
Business users trust their gut more than the data.
Systems don’t scale to support data growth and new or fluctuating workloads.
Too much time integrating, curating and governing data from siloed sources.
Too many copies or out-of-sync copies of data.
Skilled resources don’t have time to create and deploy advanced analytics and predictive models.

You must be directly involved in your company’s evaluation process for solutions like this, or in the management chain for people who do. You must be a hands-on user of the prospective solution or in the management chain of users. Please do not register for programs that are an unlikely fit. Your credibility and ours depend on it.

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