DatBI

Dashboards in place of manual reporting

DatBI works on how an organisation gathers, checks and uses its information. The firm says much routine reporting is slow and time-consuming, and it offers custom company dashboards to take its place. The work is aimed at decision makers who want their figures to arrive without someone assembling spreadsheets by hand. The site groups its sector work under three headings: transport and logistics, processing and finance, and applications and customer-facing businesses.

Connecting data from many sources

The first stage is integration. DatBI says it can gather information from any source through universal connectors and pipelines, and that these are simple to set up and maintain. Large imports from a client's data warehouse are handled at high volume, with attention to latency and throughput. Once the data sits in one place, the firm builds calculated metrics at the level of a single account or a whole company. It sets out to keep the records consistent and accurate, and it treats privacy and security as requirements rather than extras.

Forecasting and analysis at four levels

The analysis is described across four types: descriptive, diagnostic, predictive and prescriptive. The company offers AI-based forecasting for individual accounts and companies, along with exploratory data analysis, model development and tuning. Routine statistical work can be built with macros and vendor software, and the firm says it can answer tough product questions with detailed reports. Real-time views are designed to show when a key measure drops or spikes, so managers can react while the change is still under way.

Operations and a single reporting centre

Some of the work concerns how a company runs, not only what it measures. DatBI says it helps clients find bottlenecks in their operations and fix them, and it presents its service as a route to a single reporting centre for the whole company. Data is used to support strategic decisions, and the firm says its recommendations are shaped around each business's own goals and the data that business already holds.

Turning data into a product

A separate strand treats a client's data as something that can earn money. The firm describes a product-management approach to data monetisation. An audit comes first, to set out the product concept. The product is then developed on that basis, and a strategy is drawn up for bringing it to market. The company says the work starts from data a client already has, so the resulting products are built in collaboration with that client.