Knowledge, Streamlined: The way to Construct Higher Merchandise, Workflows, and Groups | by TDS Editors | Aug, 2023

The hole between out there information and helpful information has confirmed to be very tough to bridge, regardless of the proliferation of firms and instruments whose sole objective is to assist information practitioners ship on the promise of their career.

How did this come to be? There are a lot of potential culprits—from outdated infrastructure to communication breakdowns and stakeholder misalignment—and quite a few methods wherein issues can go sideways. Fortuitously, there are additionally fundamental ideas that assist information groups develop into more practical: clear, measurable targets and defaulting to simplicity are frequent themes within the data-management articles we publish.

That can assist you wade gently into this sometimes thorny subject, we’ve handpicked a couple of wonderful current contributions from authors who share insights and recommendation based mostly on their very own hard-earned knowledge. Some deal with points on the individual-contributor degree, whereas others strategy the problem of streamlining information operations throughout organizations. What all of them share is a levelheaded, pragmatic strategy to creating groups and initiatives run extra easily. Let’s dive in.

• The emergence of cloud-based information companies has been a game-changer for numerous firms. As Barr Moses notes, nonetheless, the transfer away from on-premises infrastructure doesn’t at all times include the mandatory psychological shift to new and higher workflows—however change is inside attain for organizations looking for to seek out “alignment between fashionable tooling, prime expertise, and greatest practices.”
• It might sound counterintuitive at first, however Robert Yi makes a compelling case for groups to keep away from being too rigidly data-driven. Primarily based on the teachings he discovered throughout the chaotic early days of the COVID-19 pandemic, Robert argues we should always at all times “take into account totally different decision-making circumstances” and leverage information (or not) based mostly on the precise context we discover ourselves in.