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Public Data Governance
May 2, 2019 @ 5:30 pm - 8:30 pm
Public Data Governance.
Translating big data into actionable insights for economic growth and organizational growth and success doesn’t require an army of data scientists or deep technology expertise. Instead, it requires a clear public policy and a firm understanding of how public data can be enterprised within a business or a development context for users (i.e. citizen, business community, academia, innovators, start-ups, service delivery organizations & communities) to do their jobs successfully.
However, since data is being used to frame business engagement and judge how government is serving the public, the manner in which data is being collected, shared and deployed at such a rapid pace, we tend to see that IT is often saddled with sole responsibility for managing and preparing data, ultimately subjecting business users to long delays or confounding them with overly technical data tools.
As valuable as data is, it is only an asset if business users can turn it into improved outcomes and meaningful insights. Organizations can’t afford to have business users wholly dependent on IT for the information they need, as delays and confusion serve to discourage data utilization, because the results aren’t timely or they don’t understand the information.
Studies show that most successful organizations have formally aligned diverging lines of business, technology and processes to break through this potential confusion when dealing with data. This allows organizations or institutions to quickly and efficiently leverage data to derive maximum business value. To implement this level of data management, comprehensive data governance is required.
There is a need to create an environment which enables the greatest possible use of data, but one which also identifies duplications and overlaps in current data supply to help reduce costs. This will deliver real value to taxpayers who, of course, often fund the collection and maintenance of the data in the first instance.
How do we address challenges such as resource allocation and management, accountability, climate change and gender equality that we face as a country?
We not only require a sound public policy that is transparent, accountable, and effective but we also need to shift towards data-based policy-making as well as the creation of policies that support data and technological convergence.
In policy design, data should inform better policy-making processes and lead to more adequate, efficient and effective public policies. Policymakers need to have deeper, data-driven insights into issues. These insights will allow data analysis and visualization to penetrate the policymaking process and act as a fact-checker in the process.
The event organized by Women in GIS Kenya is a deliberate action that intends to provide a platform that drives the conversation to identify current policy gaps in the data ecosystem, uncover opportunities as well as highlight key stakeholders and their roles in bringing data revolution to public policy intelligence.
The following topics will be captured ( i) Why Data management will fail without Data Governance (ii) How success in organizations and institutions requires Data Governance (iii) Aligning Data quality with Data Governance Standards and (iv) How to Execute Data Governance Successfully.