Business decision makers have an unprecedented quantity of data available to inform their business plans and strategies.
Our technology is helping companies in many sectors realise the potential of their data. HR companies including InnovaSystems and SDWorx now have Zegami fully integrated into their candidate management systems, allowing them to generate leads and match candidates at pace with simplicity. Siemens and numerous other tech firms are using Zegami to manage their manufacturing documentation, with Siemens using the platform to manage its gas turbine manufacturing process.
When organisations understand and utilise their data, they can drive their data maturity. If an organisation is lost in data, Zegami helps them navigate it.
Client Story #1
Putting the people back in the analysis
HR managers increasingly need to be more data driven in how they operate. There are many tools that help HR managers view the data, but none make it simple to create ad-hoc queries like Zegami does. In general HR managers and Executives find Business Intelligence tools like Excel intimidating and are not able to do this kind of ad-hoc analysis and data cleansing themselves.
Zegami is a “more enjoyable way of visualising and understanding data, it provides proper analysis and enables you to learn what is the story being told through the data in a way you just don’t get from spreadsheets and other B.I. tools. This is compounded by associating the data with a person’s face, which helps bring the data to life.”
Business intelligence tools are great for retrospectively looking at data but fail to allow users to proactively explore and discover insights. Within manufacturing, Zegami presents a simple way for users to easily look at their data and disseminate it across the organisation without having to involve IT. They can take a spreadsheet and using Zegs visualise them.
For Siemens and other manufacturers that adhere to Lean principles, continual process improvement is a daily core activity. “For process management, a tool like Zegami gives a good overview and allows users to drill down and see problems an anomalies very quickly. Things like having the Zegs all flash up red or filter Zegs that don’t quite meet some ruleset becomes very useful.
You’ve then got the people who are trying to improve things so that we never get to the anomaly in the first place. Users look back through a process in order to fix the anomaly, but that normally means you need to bring in additional datasets and investigate.
Having a tool that can be widely available to everyone in our organisation so they can investigate data, that is intuitive and easy to use is the ideal nirvana for us.”
Client Story #3
The player: a sporting teams most valuable commodity
Within Major League Baseball the annual amateur draft is a key focus, as over 1,200 college athletes are chosen by the 30 MLB teams over three days, with all teams looking to uncover a special athlete who will be the game changer on the baseball diamond.
The Pittsburgh Pirates have invested heavily in player analytics, analysing data on thousands of players from the college system and around the world to find the best talent available at any point in the draft.
Joshua Smith, Data Architect at the Pirates says: “Zegami provides an incredibly powerful interface which allows us to search quickly, compare, group, and interrogate player stats at draft time in a way that was just not possible with Excel or other BI solutions”
A crucial area involves communicating the results of the analysis made by the informatics team to decision-makers in the front office. By using Zegami, they can present the results in a way that makes it easy for the front office team to get key pieces of information to make timely decisions.
Zegami has been collaborating with MRC Weatherall Institute for Molecular Medicines to help clean its data and assist with the training of its machine learning models, specifically around developing a better understanding of which proteins in genes bind, and where they do this in the genome.