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Case Studies > DataOrbis Creates Future-Focused Data Partnership to Serve its Global Clients

DataOrbis Creates Future-Focused Data Partnership to Serve its Global Clients

Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Analytics & Modeling - Real Time Analytics
  • Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
  • Consumer Goods
  • Retail
  • Professional Service
Applicable Functions
  • Business Operation
  • Sales & Marketing
  • Quality Assurance
Services
  • System Integration
  • Software Design & Engineering Services
  • Data Science Services
The Challenge
DataOrbis was finding it difficult to process the amount of data they needed to process. With their previous data visualization platforms, they constantly had to break up reports into multiple subsets of data to handle the amount of data in one report. Even worse, their clients were having to log into multiple reports to see their information. The company was also challenged by the number of small report edits and changes they received from clients monthly. Minor adjustment requests came in all the time, resulting in a frustrated data visualization team who was spending valuable time making those changes. “We were finding the solution we had couldn’t quite meet the requirements of all our end users,” Nicola says. “We have quite a wide variety of end users we report to, CEOs of companies, as well as field sales and merchandising teams in stores. We need a tool and a set of reports that cater to both those kinds of end users — and everyone in between.”
About The Customer
With offices in several major gateways, DataOrbis provides data and technology solutions to some of the world’s best-known consumer brands. A Smollan-owned company, DataOrbis works across 5 continents, primarily serving manufacturers, retailers, and distributors within the FMCG (fast-moving consumer goods) industry. DataOrbis’ goal is to transform companies into businesses driven by data. They help their clients implement solutions to track performance and ultimately help them make better business decisions. DataOrbis’ solutions range from data management and visualization services to solutions that enable data-driven execution in stores. “Our clients rely on our data,” says Nicola Lapage, DataOrbis’ head of insights. “It’s an integral part of their business, and they use it to make the most important decisions in their business. So, it’s vital we have a tool that delivers well.”
The Solution
DataOrbis embarked on an intensive POC process, considering myriad tools in the data analytics market. In the end, they chose Pyramid Analytics primarily for the breadth of its capabilities, its unmatched flexibility in providing robust data access to their customers — wherever and whomever they may be — and its superior customer support. “The reason we chose to go with Pyramid is we felt they could offer what we see as a true partnership with our analytics provider,” says Tamryn Le Riche, DataOrbis’ customer success manager, who has overseen the migration to Pyramid. “The support they offer us is best in class and the licenses are much more cost effective. Their innovation in the advanced analytics and predictive analytics space is also impressive and this is where we see most of our business growth coming from in the future.” DataOrbis uses its custom built SMART DATA platform to house and process its data. The SMART DATA platform ingests, integrates and stores the data. Once harmonized this data is pushed into the Pyramid Analytics platform’s data models. DataOrbis builds all its front-end calculations and dashboards in Pyramid.
Operational Impact
  • Multi-source client data is now housed in a single solution with the ability to report down to a store or product level.
  • Best-in-class support surpasses client’s expectations, while cost of ownership decreases.
  • End-users can access the visualized data and make simple report changes, resulting in delighted DataOrbis clients, and a data visualization team that can spend their time on more value-adding activities.
Quantitative Benefit
  • The amount of time it takes to get updated day-of data into reports has decreased by 50%–75%.

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