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The challenge many leaders face when they're ready to invest in data analytics is the age-old 'build versus buy' decision. If you build it, how many resources do you need? How long will it take to see results? And how do you scale your team? If you buy, how do you keep costs low, maintain internal controls, and maximize outcomes? VISIMO answers this in the following three points:
The needs of a business constantly ebb and flow - and as such the resources required to meet those needs should as well. However this equation ends up being largely static and leaders constantly face a demand versus capacity issue where it's hard to scale to the demands of the day. VISIMO sizes to your needs - with as little as a two half-day per month commitment through large teams leading or matrixed into projects, we can scale rapidly to meet you at your needs.
Success in data analytics requires a diverse set of resources that are oftentimes found across many individuals - this includes Project Managers, Data Analysts or Data Scientists, Executive Leadership and Communication, and Marketing, among others. VISIMO has developed a team of resources with the skill diversity desired to drive success.
There's a stigma that consulting is expensive. VISIMO's advantage is that we are lean and mean and don't transfer any additional cost to you. All of our contracts start off with a 90-day introductory "fit" period - after that you have the option to enter a Preferred Engagement status which includes tiered contract lengths and rates. Also, depending on the needs of your business, partnering with VISIMO is about 30% cheaper compared to developing and maintaining your own suite of resources in house.
There's a lot of buzz lately around data - terms like big data, business intelligence, and data analytics. Can you use these to improve your business? Or do they even apply? Maybe you have asked yourself some of the questions our customers have:
VISIMO can guide you through questions like these through our simple and innovative consulting and coaching services.
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