Managing data in a digital way requires focus. Focus on a specific problem to solve, to deliver the right solution. Focus on a specific user, to deliver the most appropriate and smoothest experience. Focus on the right scale, to be right on spot when it comes to collecting, aggregating, processing, consolidating, visualising, analysing, forecasting and prescripting on data. This blog post looks at five major scales of data management, at least as we see it at Verteego. We have taken this opportunity to illustrate our typology of scales with examples of commercial applications. Enjoy your read!
Local government data management
Local community governments also care about providing a great user experience. In a digital world, a great user experience includes fast access to information, and to innovative analytics, tools and services. Delving on many years of serving communities, Verteego makes digital for territories real, by providing the right data management (with reporting and/or predictive capabilities) apps within the appropriate budget and time frame.
For example, we’ve configured environmental data repositories on the Verteego platform, but also economic value creation data hubs, or strategic management dashboards for local officials.
Global corporations are now all extended enterprises, or put it this way, corporations that include their value chain and external stakeholders. Such global corporations are facing a terrible dilemma: on the one hand, enterprises are facing some data diarrhea, incapable of deriving any analysis from the loads of stored information, on the other hand, many in the enterprise world are struggling to jump in the digitalization bandwagon by building sound assets of valuable data. However, academic powerhouse MIT says digital forward-players, the so-called ‘digirati’, generate an average of +9% in revenue creation, of +26% in profitability and of +12% in value creation. So, decision-makers and managers have no other choice but to start preparing for future performance by turning agile, looking themselves for apps that will make digitalization concrete, that is to say tools that will help gather, organise and deliver actionable insights. The good news is, Verteego, whose software platform designed as an application factory is devised to collect and analyze data through entire value chains, is the preferred digital service provider of these forerunners willing to foster value creation through digital transformation.
For example, we have a long history of corporate responsibility data management at Verteego, including digitalizing Duty of Care plans or the reporting of qualitative or quantitative CSR metrics. We also work on HR data repositories for HR departments, we do financial forecasting for Financial Departments, we predict no shows for COOs, share best practices at a global level for Knowledge Management departments, create supplier scorecards for Supply Chain Departments, and so on and so forth. Here, the imagination of our clients is the only limit.
Site-level data management : industrial facility, office building, residential building, shopping mall, point of sales
Digital transformation gives site managers a hard time. Site managers have to deal with day-to-day operations, most of the time operational emergencies, so many site managers work extra hours to actually carry out planning and management tasks. So, digitalization is often seen as a way to make site managers actually work even more of such extra hours. This being said, digital transformation is more and more being recognized by site managers as a great way to understand past activity. And digital transformation, delving on what is called Big Data, now has the power to help site managers get a feeling of what the future may be! An excellent way to activate digital transformation at site-level is actually to deliver user-friendly and yet powerful apps to site managers. Verteego is committed to making these apps generate gains in productivity and provide insights into the daily, weekly and monthly monitoring of operations.
For example, in the retail industry, we’ve created Madd.ie, an artificial intelligence for Points of Sales capable of predicting key site metrics such as traffic or revenues, or, by configurating the Verteego platform as per the wishes of our customers, we provide energy monitoring and management applications without writing a line of code.
Project data management
We live in a world of projects. Projects are managed by project managers. The job of project managers is to make decisions based on robust metrics, and then to execute and have executed their decisions throughout the project value chain. The problem is, by nature, every project is unique. Right on spot, so how can project managers make informed decisions if building upon existing numbers is, by design, not possible? This is where digital capabilities may help. Adequate tools and apps will enable leveraging on past experience and make simulations on the present and future possible. This is where Verteego comes in, drawing on an existing software platform, as a trusted partner in the agile delivery of mobile and web applications useful to the entire project value chain.
For example, we are working on a data management app to help dismantling nuclear power plants. We have designed an app to digitalise the management of red tape on construction fields. Some customers use our self-service collaborative data visualisation app Jolicharts to create management control dashboards for their projects, etc.
Product data management
The product equation is tricky because products are getting more and more complex, being made of materials that are everyday more advanced and sophisticated, being the composition of industrial practices involving a large number of suppliers or/and talents in limited supply. On the flip side of the coin, what users want is simplicity in the use and maintenance of products. At all stages of the lifecycle of products, from design to their second life, data is required to actually make data-driven engineering possible. This is why Verteego provides product data management apps that may help collect, aggregate, reflect and collaborate on data of all present and future products.
For example, we provide environmental, economic and social product footprinters, product safety data sheets generators FDS, conflict mineral data management apps, and last we have packaged Verteego REACh Garden, a REACh chemicals traceability throughout the supply chain of downstream users (that is to say, for manufacturers and retailers) platform.
To wind up, the different scales of data management can be combined to better solve customer issues. For instance, you may think of apps to manage different products, projects, sites, or even corporations or territories. Or you may think of territories collecting corporate data to better manage risks (e.g. industrial), or product managers collecting corporate data from their suppliers. If you had to remember one thing from this post, it is that when you start to express your needs for data management tools, you ought to make the scale of your needs crystal-clear for all your project stakeholders! It goes without saying but it is better written than not.