Welcome to the third and final post in our series on Data Lifecycle Management (DLM), where we will talk about archiving and purging company data. In the last post, we talked about applying the Kaizen approach to data management to achieve a culture of continuous improvement on our data teams. In this post, we will…
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“Take time to improve our data management processes? Sorry, we are just too busy”… fixing errors from broken data processes. This refrain is more common than you think in IT departments of all sizes. Or maybe you live that reality every day and are fully aware that clunky, error-laden processes eat away at your team’s…
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Are your company’s data collection processes sound? Do they align with best practices? Welcome to the first of three posts on how to refine your strategy for data lifecycle management. In this post, we will look at how to evaluate your data collection processes for improvements. Data Collection in Data LifeCycle Management (DLM) As has…
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Are Data Lifecycle Management (DLM) and Information Lifecycle Management (ILM) just fancy terms for the exact same thing – namely, data management? Will understanding these terms actually impact your data strategy in any meaningful way? Will knowing this distinction affect your business at all? Recently, we began a series of posts on data strategy by…
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As the business world becomes more and more data-centric, what questions does your growing company need to ask about its data storage? Recently, we began a series of posts on data strategy by asking whether your company data is an asset or a utility. In this post, we will look at 10 key data storage…
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How do you justify investment in IT? That’s a commonly asked question for companies whose core business area is not technology. For many, it is a challenge to justify investment in technology. The primary purpose of IT, as some companies see it, is enabling the operation of the business. It’s not driving revenue. Every business,…
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