All data practitioners and analytics leaders have been there: you receive an unexpected request requiring you to go beyond the previous scope of the projects you’re currently managing.
This request may, after careful consideration, require an additional overall time investment in terms of research, development, and even implementation.
This request may even come with a deadline of ASAP.
What are you going to do?
You are being relied on to create positive, strategic value within your organization and as a determined & loyal agent of innovation, you want to assure that the demand for your department’s services is not just getting met, but also that the quality of work is superb.
There are a lot of different ways you could approach this request. You could panic and freeze, or not even respond if there is insufficient time. You could arrange an immediate departmental meeting to determine the feasibility, cost, and implementation of potential solutions to satisfy the request. You could also just say no (which happens in analytics settings much more than you might think).
However, if you’re an eternal optimist like me (who is also a serial type a personality somehow), you may see this additional request as an opportunity to showcase your department’s ability to not just meet goals, but create additional value as well.
What if these additional, unexpected requests keep occurring?
What are the some of the Best Practices to managing the work flow in these types of analytics reporting structures?
Having a background consisting of a wide range of industrial experience in fields such as Market Research, Consulting, Advertising, Entrepreneurship, and Marketing Analytics; Please find below the following Best Practices which may be of use to you.
I want to share the following Best Practices I’ve learned in terms of ways to create work flow efficiencies in both standard and custom analytics reporting.
Please note that I’ve included Best Practices for the standard analytics reporting structure as well, since the maturity of - and any further demand for custom analytics requests - eventually evolve into them getting fulfilled efficiently by standard analytic reporting structures; essentially, if they are requested with enough frequency.
Creating Work Flow Efficiencies in Custom Analytics Reporting:
Creating Work Flow Efficiencies in Standard Analytics Reporting:
The determinants of implementation success include:
Ultimately, it takes work, in fact it takes an ongoing, dedicated resource investment.
However, if workflow efficiencies can be effectively developed and implemented, the gained benefits generally far outweigh the necessary resource investment.
This is especially true in the long run where the future innovation and growth of the entire organization are catalyzed by such improvements.
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Founder, The Chicago Analytics Group