德勤：Seven lessons COVID-19 has taught us about data strategy

Data has enabled rapid pandemic responses
DATA drives better decisions. Governments are not new to data-driven decision-making—their efforts to use data to replace intuition with objectivity span decades.1 In the current COVID-19 crisis, too, governments have quickly reacted to available data and developed strategies to combat the effects of the virus on people, governments, and the economy. Using data, analytics, and emerging technologies, governments made informed policy decisions to enforce restrictive protocols such as travel bans, school closures, quarantine measures, and social distancing to reduce the spread of the virus. In addition, data has informed policy decisions around the release of economic aid, reopening of cities, improving public health capacity, and much more.2

This response has highlighted some key data strategy lessons for governments. From the collection, expiration, and presentation of data to governance and privacy issues, the following seven lessons (figure 1) have emerged postcoronavirus:

1.Real-time data is key to resilience
2.Data presentation is most effective when it’s centered on users
3.Cloud converts data from a luxury to a utility
4.Data governance is crucial
5.A data strategy is incomplete without privacy and security
6.Data-sharing enables innovation
7.Identifying and addressing data issues can strengthen decision-making

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