The way to focus the information processing Or better, its backing government enables companies to enter the digital age with robust and reliable data. This way, will be able to achieve much-needed analytical advantage in times of change and adjustment in business, in people's consumption habits and in the way societies are organized.
With an agile approach to governance data In which companies have automated and decentralized processes, makes it possible to have a much more professional treatment of the data and the information that results from them. Having the correct information is essential for making strategic decisions and achieving operational excellence.
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60-73% of an organization's data is never used successfully for a strategic objective. Source: Forrester |
Thus, policies that are issued should seek a sustainable analytical advantage, what is achieved by guaranteeing a information processing optimum, both inside and outside the core of the organization. This needs to consider data governance as a procedure, and not as a project, which helps to achieve three important goals.
continue reading Big Data Governance, fundamental for innovation in companies.
The 3 keys to a good governance model
Take the information processing An agile and effective corporate governance requires the approach of three objectives from the governance function:
- Recognize and minimize information bias and the presence of silos.: obtaining pure information in a company is a challenge, since it tends to seem biased in some way. To avoid it, It is advisable to plan the information processing based on three complementary actions:
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Add the information + Trust predictive tools + Promote user self-service |
It is also necessary to avoid information silos by promoting data integration, interdepartmental connection and, fundamentally, acting from data management and master data.
- Use information for decision-making and promote process transparency.Information is essential to properly examine how institutions operate and provide the metrics that reveal their true progress. Thus, it will be feasible to know the needs regarding data, identify areas where adjustments need to be made, export best practices to other processes or departments.
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Poor data quality costs institutions 12% of your income. Source: Experian data quality |
- Understand data governance and processing as a means rather than an end.: data can help the company innovate, but for this they must understand the customer better, better understand the market and be aware of your own possibilities as a company. Thus, it is essential to obtain objective data, verifiable and current, and that at the same time the organization is aligned with respect to the objectives, and what is pursued with them, regardless of the department in which it is located.
You may be interested in continuing reading: Data and Analytics: the best answer to face the crisis
The increasing digitization of business and the data avalanche of the Data era 4.0 make the processing, governance and data management are key for leading companies to adapt to a changing and increasingly demanding environment.
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