The world has changed dramatically over the course of a single month, and companies are struggling even more with things that have historically challenged them:
- Finding the best people to run, build and innovate on their analytics tools and data
- Making these environments accessible to employees in a work-at-home model
In this Forbes article, Louis Columbus cites a recent Dresner survey that shows up to 89% of companies are seeing a hit to their BI and Analytics budgets due to COVID-19. The survey includes these two recommendations:
Invest in business intelligence (BI) and analytics as a means of understanding and executing with the change landscape.
Consider moving BI and analytical applications to third-party cloud infrastructure to accommodate employees working from home.
89% of companies are seeing a hit to their BI and Analytics budgets due to COVID-19.
We’re here to help you explore your options.
Now that the role of analytics is more important than ever to a company’s success, analytics leaders are again being asked to do much more with much less — all while companies are experiencing staff reductions, navigating the complexities of moving to a work-from-home model, and struggling to onboard permanent hires.
To address these short-term shortages (and potentially longer-term budget impacts), companies are naturally evaluating whether leveraging a managed-service approach — wholly or even just in part— can help them fill their skills gap while also reducing their overall spend.
As they weigh this decision, cost, technical expertise, market uncertainty and the effectiveness of going to a remote-work model are all top-of-mind. Here’s how these factors might affect your plans going forward:
Factor 1: Cost
As the Dresner number showed, most analytics teams need to reduce spend. Doing this mid-year is never easy, and usually comes at the expense of delayed or canceled projects, delayed or cancelled hiring, and possibly even staff reductions. All of these decrease a company’s analytics capabilities, which in turn decreases its ability to make the right business decisions at a critical time. A managed services approach to meeting critical analytics needs, even just to address a short-term skills gap, can provide valuable resources in a highly flexible way, while saving companies significant money over hiring staff and traditional consulting models.
Factor 2: Technical Expertise
A decade ago, your options for analytics tools and platforms were limited to a handful of popular technologies. Today even small departments use many different tools. We have seen organizations utilizing AWS, Azure, and private datacenters. Oracle, SQL Server, Redshift all at the same company? Yes, we have seen that as well. Some of our customers maintain more than five BI tools. At some point you have to ask: Can we hire and support the expertise necessary to run all these tools effectively? Can we find and hire a jack-of-all trades?
In a managed services model, companies can leverage true experts across a wide range of technology while varying the extent to which they use those resources at any particular time. As a result, companies get the benefit of a pool of resources in a way that a traditional hiring approach simply cannot practically provide.
Factor 3: Effectiveness of Remote Work Engagement
If you weren’t working remotely before, you probably are now. Companies are working to rapidly improve their processes and technologies to adjust to a new normal while maintaining productivity.
Managed service resourcing models have been delivering value remotely for years, using tools and processes that ensure productivity. Current events have not affected these models, therefore making them an ideal solution for companies trying to figure out the best way to work at home.
Times are changing. We’re ready!
Ironside has traditionally offered Managed Services, to care for and maintain customer platforms and applications, and consulting services, to assist in BI and Analytics development.
Companies can leverage our Analytics Assurance Services temporarily, for a longer period of time to address specific skills gaps, or to establish a cloud environment to support remote analytic processes.
With Ironside, you can improve your data analytics within your new constraints, while reducing your costs. We’d love to show you how.
Contact us today at: Here2Help@IronsideGroup.com