Why Smaller Teams Mean Bigger Outcomes In Data Analytics

Find out how smaller teams focused on collaboration can help deliver bigger outcomes in your data analytics initiatives.

The goal of a data analytics initiative is to turn insights into tangible business value (improved products, better UX, smarter recommendations, higher productivity rates...). The deeper the insights into your business, the more of that value you’ll be able to generate.

It’s why the most effective analytics initiatives are cross-organizational - ones that give you a 360° view of your entire operation. Those initiatives give you the power to connect the dots between every single part of your business (and your customers) seamlessly.

But here’s the thing with cross-organizational analytics initiatives: they’re highly sensitive to disruption. Throw too many people into the mix in the early stages, and the conflicting goals, priorities, workflows, and preferences involved will get in the way of a well-designed data analytics strategy. Throw no people into the mix in the early stages (a.k.a., leave your initiative’s design to a detached service provider), and you risk ending up with a strategy that either doesn’t reflect your broader business goals, or one that none of your people know how to use.

A better way to do data analytics

All of this is why at Cloudreach, we follow a 'small teams, big outcomes' philosophy. It’s an approach to data analytics that focuses on collaboration between teams of 3-5 people, as opposed to the traditional 'throw 30 engineers into an office with a deadline' model. An approach that ensures everyone gets heard, every department has a say, everyone learns and works together, and that every element of your analytics initiative is contributing to your broader business goals.

Using that approach, some pretty big organizations have realized some pretty neat outcomes. Like online retailer Ocado, who migrated over 100 terabytes of data seamlessly to Google Cloud Platform, enabling 8x data query responses, 7% higher contact-center efficiency, and 4x customer-email-response times. Or multimedia news publisher Telegraph Media Group, who switched from legacy tech to Google Cloud Platform, enabling 18x faster ad-campaign-performance-data processing, and real-time error detection during data processing and analysis.  

How a smart analytics initiative breaks down in real life

Working in small teams is one smart move, but it’s not enough to guarantee a successful analytics initiative. It’s why we’ve put together this analytics blueprint which goes into much deeper detail, down to who should be in your teams, what those people should be doing, and when. On a day-to-day basis. Check it out and ensure every single step of your analytics initiative is a smart one!      

  • google-cloud-platform
  • Data Insights
  • GCP Data Analytics

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Meet Latrece Miller, Data Master

Latrece Miller’s passion for logic and problem-solving precedes the establishment of the Data & Analytics field in which she now excels. With 12 years of combined experience in Microsoft Business Intelligence, Azure, Data Analytics, and .Net Development, as well as 10 years of leadership & management experience, Latrece is a skilled Data Architect with a craft that enables customers to unlock key insights and improve business processes. Whether she's traveling the world or developing quality software, Latrece is a master of her craft.