List of Di.Tech Analytics Customers
Bologna, 40138,
Italy
Since 2010, our global team of researchers has been studying Di.Tech Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Di.Tech Analytics for Data Warehouse from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Di.Tech Analytics for Data Warehouse include: Conad Nord Ovest Italy, a Italy based Retail organisation with 19000 employees and revenues of $6.13 billion, Commercianti Indipendenti Associati, a Italy based Retail organisation with 13215 employees and revenues of $3.41 billion, Migross, a Italy based Distribution organisation with 523 employees and revenues of $180.0 million and many others.
Contact us if you need a completed and verified list of companies using Di.Tech Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Di.Tech Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Commercianti Indipendenti Associati | Retail | 13215 | $3.4B | Italy | Di.Tech | Di.Tech Analytics | Data Warehouse | 2016 | n/a |
In 2016, Commercianti Indipendenti Associati implemented Di.Tech Analytics as a Data Warehouse to consolidate retail data across its Italian cooperative network. The deployment in Italy centralized transactional and operational datasets to support store operations, supply chain and promotional analysis.
Di.Tech Analytics was configured to provide centralized BI reporting and KPI tracking capabilities. Functional configuration emphasized data ingestion and ETL orchestration, dimensional modeling for sales and inventory, and standardized KPI calculation for promotion effectiveness and stock management.
Operational coverage focused on store operations teams, supply chain planners and promotion managers across the cooperative network in Italy, with reporting surfaced to regional and central business users. The implementation provided a single data store for crossfunctional analysis of inventory, sales and promotional performance.
Governance activities centered on centralizing reporting definitions and establishing recurring KPI reporting workflows to align decision making across stores, procurement and merchandising. The deployment delivered centralized BI reporting and KPI tracking to improve inventory and promotion decision making.
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Conad Nord Ovest Italy | Retail | 19000 | $6.1B | Italy | Di.Tech | Di.Tech Analytics | Data Warehouse | 2017 | n/a |
In 2017, Conad Nord Ovest Italy implemented Di.Tech Analytics. Di.Tech Analytics was provisioned as a Data Warehouse to consolidate point of sale, promotion and loyalty datasets for enterprise reporting and category decision support.
The implementation focused on core data warehouse capabilities, including batch and near real time ingestion, ETL pipelines, a dimensional data model for sales and promotions, and a reporting layer exposing subject area marts for marketing and category management. Di.Tech Analytics was configured to support promotional effectiveness analysis and to feed standardized dashboards and BI queries used by merchandising and store operations.
Architecturally the deployment was designed to centralize retail data from stores and corporate systems into a single Data Warehouse instance, with an emphasis on structured cleansing, timestamped promotion records, and schema versions to support campaign attribution. The design aligns with Di.Tech Promoject promotional planning constructs publicized in Conad Adriatico projects, enabling consistent mapping between promotional planning artifacts and analytical fact tables when promotional planning systems are present.
Operational scope included marketing, category management and merchandising teams, with data governance processes introduced to enforce master data consistency and reporting rules. Governance covered data stewardship, access controls, and release cadences for new promotional schemas and dashboards, enabling standardized workflows for campaign measurement and cross-functional analytics.
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Migross | Distribution | 523 | $180M | Italy | Di.Tech | Di.Tech Analytics | Data Warehouse | 2023 | n/a |
In 2023 Migross implemented Di.Tech Analytics alongside Di.Tech's Smartbay cloud solution to orchestrate delivery slot scheduling at its distribution centers. Di.Tech Analytics is operating as a centralized Data Warehouse to consolidate Smartbay reporting and operational feeds across Migross's Italian distribution network, enabling a single repository for logistics and warehouse intake data.
The implementation concentrated on cloud-based data ingestion, staging and dimensional modeling to support operational dashboards and KPI analysis. Functional capabilities included scheduled data pipelines for delivery slot and inbound appointment records, aggregated metrics for truck waiting times, and near real-time reporting and statistics consumed by logistics planners and warehouse supervisors.
Smartbay reporting and statistics were leveraged into Di.Tech Analytics to provide unified dashboards across distribution centers in Italy, supporting supply chain and warehouse operations planning. Rollout emphasized operational governance around slot scheduling and intake workflows to smooth warehouse intake operations and reduce truck waiting times, with data consumers in operations and logistics using the Data Warehouse for daily decision support.
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