High-performing companies, meanwhile, have moved faster to engage business leaders in data/analytics activities as the key to unlocking value.
It's not a patch job for your data problems. McKinsey Global Institute Our mission is to help leaders in multiple sectors develop a deeper understanding of the global economy. By Chiara Brocchi, Davide Grande, Kayvaun Rowshankish, Tamim Saleh, and Allen Weinberg. Tailoring a data strategy to an organization’s unique needs. A recent McKinsey & Co. survey revealed that, among lower-performing organizations, the most significant obstacle to achieving data effectiveness is designing the right organizational structure. With a variety of analytics tools on the market, more organizations are feeling data-savvy. The challenge is to quantify the precise value of data to a firm so that economic value can be ascribed to this asset class over time. That ability depends on certain supporting elements: a strong technical foundation, mechanisms to govern the handling of data, and employee accountability for managing data well. To capitalize on data as an asset, organizations will need to become more data driven—and data fluent. McKinsey Quarterly. Analytics and artificial intelligence are reshaping organizations and the entire business landscape.
To get a better understanding, McKinsey looked at the returns from more than 10,000 real-estate investments across asset classes in 14 major cities over a 19-year period through 2012. Our flagship business publication has been defining and informing the senior-management agenda since 1964. What is Data as an Asset?
Leading organizations in every industry are wielding data and analytics as competitive weapons, operational accelerants and innovation catalysts. This data generated by an individual/entity should not only empower but also open new avenues and opportunities for them.
Data as an asset – commercial considerations The aim is to set the stage for treating data as an asset, resulting in improved decision-making, enhanced user insights, and greater mission effectiveness.
7 Examples of a Data Asset posted by John Spacey, September 15, 2017. This differs by business model as what is valuable to one industry may have little value to another. This research also draws on a large body of MGI research on digital technology and its effects on productivity, growth, and competition. Industrialize your asset management business model to be agile, efficient and client-centric while preparing for the inevitable volatility. Amplify the data and analytics discussion.