So how does an organization transform into a data-driven organization?
As with any business scenario ? organizations must take the time The journey starts to understand why they need data. This simple question enables them to formalize a standard data-driven implementation plan that will ensure a successful transformation in the end. Beyond that ? The journey starts it leads to a lot of follow-up questions ? all of which need to be answered and thought through thoroughly. Therefore ? the real purpose of this exercise is to get the organization focused on understanding the overall goals and requirements from a business or operational perspective.
The reality for many organizations is often shocking
They rush to mobilize the required Business Intelligence (BI) resources telemarketing data without giving much thought to the quality of their data ? how it fits into their organizational culture ? the role it plays in the decision-making process ? and its impact on other departments.
“How do you ensure that the data you get is good ? clean data? ‘Garbage in ? garbage out’ still applies. So it’s not just about the hardware ? software ? infrastructure ? and applications; it’s about b2b business is also individual the people and governance around it.” — Matt Ariker ? COO ? Big Data Analytics ? McKinsey & Company
Organizations rarely realize the importance of the vast amounts of data they come into contact with every day ? let alone have strong data quality measures and controls in place to be able to handle that data effectively and ethically.
That’s why organizations must first
Focus on understanding why they need data ? as germany cell number the answer to this question will form the foundation of their business data governance policy.
So ? in summary ? for most organizations ? the need for data stems from their desire to better understand their customers or improve customer service or product offerings. It is from this core need that organizations can begin to implement a data-driven strategy.