Many organizations nowadays put efforts into developing data strategies. It is worth noting the following:
Different frameworks and models of data strategy exist. In developing strategies, organizations do not always follow the recommended content (more in the article:
A Data Strategy: Theory vs Practice.
A data strategy should include strategies for developing various data management capabilities.
In developing a data strategy, an organization can use commonly used techniques, such as a business model canvas and SWOT analysis.
Even ChatGPT knows that the core pitfalls in data strategy implementations are a lack of skills, clear business objectives, resistance to change, and cultural barriers.
Organizations should consider the “green information management” approach when developing data strategies. the environmental impact of information-related processes.
In Part 2, I will share key takeaways on data science, data architecture and modeling, and other data management capabilities.
How Not to Put Data Governance into Practice:
Four Common Mistakes
There’s a fair amount of high-level advice on the internet greece whatsapp number data about implementing data governance, which means the practices an organization uses to ensure its data is available, usable, complete, and secure.
But what you won’t find, at least not in abundance, is this approach focuses on minimizing guidance about what not to do when establishing a data governance practice. That’s unfortunate, because there are many missteps that organizations tend to make when trying to establish data governance. Avoiding them is critical if you want to build a data governance adb directory strategy that actually allows you to govern your data – as opposed to talking about governing your data without really establishing effective governance controls and processes.
To that end, here’s a look at data governance mistakes to avoid, which draw on my work helping organizations chart effective data governance and management strategies.
Mistake 1: Treating Data Governance as a Technology Problem Alone
Probably the biggest mistake I see companies make when approaching data governance is assuming that they can simply purchase technology to solve their data governance needs.