How private organizations make sense of data management and storage over time.
The idea that “technology will save us all” is overtly idealistic and yet the market continues to bet on tech. Among the noise created by tech’s super evangelists, with their asymmetrical positive sentiments and the tacit speculation of late adopters, is a truth often ignored. All these tech unicorns and corn-balls are generating data; data that offer the potential to clarify goals, inform organizational autopsies, and revitalize viable past ideas.
Dedicating energy towards identifying efficient data storage and management practices without a clear short-term ROI can be a critical step in creating analytical flexibility within your organization. Deploying at data lake framework can offer analytical flexibility in the long run.
Analytical flexibility is the difference between seeing data as a another regulatory burden, and having the organizational awareness to trust your struggles may hold answers.
Do you need a data manager? Are you the defacto data manager?
A run down of the keys for why data management matters:
- Productivity – Do you need/ make it easier for your team to find, understand, and relay info.
- Cost Efficiency – avoid unnecessary cost due to redundancy in operation. Easy data accessibility prevents time waste.
- Operational Nimbleness – being about to respond quickly to market climate shits with a rich accessible data library can be an organizational advantage.
- Data Security – proper data management ensures data is secure and in the right hands. Proper management can mitigate attacks and theft.
- Reduced Date Loss – important information is backed up and retrievable in case of anything.
- Accurate Decisions – your greatest analyst and assets are your greatest asset. Equip them with high quality data that is highly accessible and recent. This helps ensure your organization will make the most accurate decision with the most relevant insights from the past.