DATA & DECISION INTELLIGENCE

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Understand what drives your results and where to act.

We integrate your business information and develop tools to analyze performance, identify meaningful changes, and bring more context to decisions.

Let’s talk about your decisions

A shared view for decisions that span your business.

Sales, inventory, finance, and operations teams often work with different information. Metrics may have different definitions, and the same question can produce conflicting answers.

We connect that information, establish common definitions and criteria, and make it easier to analyze what is driving the result.

Data integration and business modeling

We connect relevant sources and define the relationships between customers, products, locations, transactions, and processes. The result is a coherent information foundation that reflects how your business operates.


Performance analysis

We develop metrics and analytical views that let your team move from overall performance to the detail that needs attention: a region, a customer, a product, or a transaction.


Deviation detection

We design ways to flag unusual changes, risks, and exceptions based on agreed rules and criteria. The aim is to direct your team’s attention to what needs review.


Decision support

We structure alternatives around business objectives, constraints, and rules. Recommendations include the context your team needs to evaluate them.


Information and recommendations in one workspace.

The Decision Center brings the project’s capabilities together in a single user experience. Your team can review signals, explore their causes, and consider proposed actions.

The configuration depends on the process: what information is shown, what recommendations can be made, who decides, and how follow-up is recorded.

What your team may receive

  • Integrated information with shared definitions.

  • Metrics and reports that answer specific business questions.

  • Analytical views by product, customer, region, or process.

  • Signals and alerts configured to the project’s criteria.

  • Recommendations with supporting context and review points.

Integrations

Connect your data to make better decisions.

We integrate sales, inventory, customer and operational data to compare options and identify where to act.

Systems and sources we can integrate

  • SAP

  • Microsoft Excel

  • Salesforce

  • Snowflake

  • Oracle

  • Internal APIs

Each integration depends on the system version, available APIs or exports, permissions and project scope.

Evaluate usefulness as well as functionality.

Depending on the scope, we may assess metric consistency, the time needed to prepare an analysis, the ability to detect exceptions, and adoption by your team.

Business results are reviewed alongside the decisions and actions your business implements.

What important question is still difficult to answer with your data?

Let’s talk

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Explore our Data & Decision Intelligence presentation.

See how we connect information, analyze performance, and structure alternatives to support better-informed decisions. Enter your details to access the English-language PDF.

Illustrative projects

Examples of connecting data, reviewing scenarios and preparing evidence-based decisions.

Reference projects based on illustrative scenarios. See each project for its scope and assumptions. Images are illustrative.

Illustrative commercial review with an industrial component, calculator and documents at a distributor.

Understand why margins are falling

Illustrative project

Sales rise while margins fall, and teams offer different explanations. Reconciled analysis could break down volume, mix, price and cost changes to the transaction level.

Illustrative review of work and paperwork in a maintenance workshop.

Explain budget variances

Illustrative project

Budget variances mix timing, volume and existing commitments. A view by business unit could bring evidence and scenarios together for Finance to review.

Illustrative home-goods inventory scene, with tableware, textiles and boxes arranged in a store stockroom.

Decide how to replenish each location

Illustrative project

One store runs short while another holds excess stock. A shared view could compare replenishment, transfers and purchases, including costs and constraints.

Illustrative scene of sorted components beside a workbench for assembling commercial display equipment.

Plan component replenishment

Illustrative project

Purchasing manually pieces together which materials will be needed and when. A model could connect production, stock and open orders to review quantities and dates.

STRTGY
AI consulting and implementation.

Data & Decision Intelligence · AI Agents & Automation · Market Intelligence

Contact STRTGY · hola@strtgy.ai