Bring data from different systems together in a single analytics structure. With dashboards, real-time reporting, AI-assisted querying, alerts, infographics and executive summaries, move faster from data to insight and from insight to action.
Make data understandable for everyone. Bring sales, customer, marketing, operations and finance metrics together on dashboards you build to your needs. Each team tracks only the indicators that matter to it, while managers see the overall state of the company at a glance.
Turn data into the language of management. Don't leave reports as screens made up only of tables and charts. Create infographics and executive summaries that summarise data automatically and highlight key changes and points that need attention, so decision-makers see the big picture quickly without getting lost in detail.
Create metrics specific to your business. No two companies are managed by the same performance indicators. Define your own calculations, ratios and business rules, and track your company-specific KPIs on the same dashboards as the standard metrics.
Investigate the cause, not just the result. Drill down from totals to the detail level to see where a change comes from. Analyse step by step which region, product, channel, customer group or period a drop in sales comes from, and get to the causes behind the result.
Don't just monitor data, act on it. A result you see in a report shouldn't stay outside the system. When the conditions you define are met, trigger a customer segment, sales task, campaign, marketing action or another business process, and make analytics an active part of operations.
Don't wait on the data team for a report. Reduce how often users need the technical team or a data analyst for every new question. With filters, metrics and visualisations, teams build their own analyses and get straight to the information they need.
Reports don't just show you, they alert you. Set up automatic alerts when the metrics you choose rise above or fall below threshold values. Send reports automatically to the right people daily, weekly or on your own schedule, so important changes are noticed in time without users constantly checking screens.
Don't leave your data scattered across systems. Bring data from CRM, e-commerce, loyalty, campaign, ERP, field sales and other systems into a shared analytics structure. Connect data from different applications to uncover new insights that no single system could show on its own.
Everyone looks at the same number. Stop different teams from producing different reports for the same concept. Manage core metrics such as revenue, active customers, conversion or customer value with shared definitions, and create a single data language across the company.
Manage analytics around your team structure. Group users by team, department or area of responsibility, and control which data, reports or dashboards they can access. Everyone gets the data they need, while sensitive information stays protected under control.
Talk to your data in natural language. Instead of complex queries or report definitions, type your question in everyday language. Ask things like “What is my revenue this week?”, “Which customer segment is growing fastest?” or “Why did sales drop compared to last month?” and get answers from your data as tables, charts and insights.
See what is happening now, not what happened yesterday. Reports and dashboards update as data comes in. Track sales, orders, campaigns and customer activity without waiting for end-of-day reports, and respond to changes faster.
Link customer data to business outcomes. Evaluate customer profiles, purchase history, campaign interactions, loyalty behaviour and service processes in the same analytics structure. That way, alongside “how much did we sell?”, you can also answer “who did we sell to, why did they buy and what did they do next?”
Everyone knows what the data means. Define what the metrics, fields and calculations in use mean in a shared data dictionary. Make sure users can not only access a report but also read it correctly, building stronger data literacy across the company.
Scale analytics usage in a controlled way. Manage teams' analytics resources, user counts and related usage limits centrally. Control usage and budget by department or team to make your analytics investment more planned and sustainable.
Sector leaders describe how they manage loyalty, sales, analytics and field processes on a single platform.
We built Gratis Beauty’s digital transformation on a single platform that gives customers an uninterrupted service experience and store teams end-to-end operational management.
Retail (personal care & cosmetics)
For Teknosa we built a comprehensive loyalty and campaign management platform that knows the customer, segments them by behaviour, brings the right campaign to the right member and makes the results measurable.
retail (technology)
For Sahibinden.com, customer service, complaints, SLAs, campaigns, quotes and orders come together on a single agent screen; every call turns into a personalised service and sales opportunity.
e-commerce (services)
Starbucks Türkiye’s stars, campaigns, prepaid card, QR payment and customer service processes come together in one experience.
food & beverage (coffee)
MSA is no longer just an academy present on digital channels; it is a platform company that runs its whole operation digitally, from sales to teaching, from data to communication.
food & beverage (education & gastronomy)
Mechanics, service points, field teams, dealers and head office came together in an integrated ecosystem working on the same current data.
energy
We built Borusan Lojistik eTA’s digital transformation on bringing truckers, vehicles, field teams, the call centre and transport operations together on a shared data and process infrastructure.
logistics
