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Know the Business

Get answers you can trace back to the business.

Connect information across systems, reports, and documents so your team can find reliable answers, understand performance, and see where the information came from.

Overview

Turn scattered information into something people can use.

Business information often lives across accounting, CRM, ERP, shared drives, spreadsheets, email, and individual experience. Dynflux brings together the information needed for a defined question, report, or searchable company knowledge base, and turns it into business intelligence people can trust—without requiring a company-wide data transformation first.

We identify what a correct answer means, which systems contain the required information, how conflicts should be handled, and who may see the result. Your team tests known questions before the system is used more broadly.

  • Data
  • Documents
  • Reporting
  • Search
  • Analytics
  • Forecasting

The problem and the change

When the answer exists, but not in one usable place.

  • Today:

    Different systems show different versions of the same fact.

    What changes:

    Sources are reconciled using agreed rules, or conflicts are shown clearly for review.

  • Today:

    Important answers depend on the one person who knows where to look.

    What changes:

    Approved data and documents become searchable with appropriate source visibility.

  • Today:

    Reports require exports, spreadsheets, and manual explanation.

    What changes:

    Defined reports and summaries are prepared from current approved sources.

  • Today:

    Problems appear during a meeting or at the end of the month.

    What changes:

    Agreed measures can surface changes and exceptions sooner.

Benefit summary
More reliable answers, clearer sources, shared organizational knowledge, and earlier visibility into what changed.

Examples

Start with the answer your team has trouble getting.

  • Plain-language business questions

    Ask a defined question across approved data sources and receive an answer with its supporting source or calculation.
    • Natural-language query
    • SQL
    • Semantic layer
  • Recurring reporting

    Prepare reports and management summaries from current source systems on an agreed schedule.
    • Data pipelines
    • Dashboards
    • Scheduling
  • Cross-system reconciliation

    Compare records from different applications, identify mismatches, and apply agreed rules for resolution.
    • APIs
    • Matching rules
    • Exception queues
  • Company knowledge search

    Make contracts, procedures, policies, product information, and other approved documents easier to search and use.
    • RAG
    • Enterprise search
    • Permissions
  • Forecasts, scoring, and early alerts

    Use machine learning on your own history to forecast demand or cash, score leads, flag churn risk, and alert the right person when a measure moves outside its normal range.
    • Machine learning
    • Forecasting
    • Anomaly detection
  • Feedback and document analysis

    Identify recurring topics, issues, obligations, or signals across reviews, tickets, forms, and documents.
    • Classification
    • Summarization
    • Sentiment

Process

From scattered data to answers people can trust.

  1. 01Map

    Start with the question

    We identify the decision, the people asking, and the systems and documents that hold the answer.

  2. 02Build

    Connect the sources

    We connect and prepare the data with the access rules and freshness the question requires.

  3. 03Prove

    Validate the answers

    Your team checks answers against known results and confirms sources before anyone relies on them.

  4. 04Run

    Answer and monitor

    People get reliable answers with visible sources, while data quality and usage are monitored over time.

What it includes

What sits behind a reliable answer.

  • Source systems

    Databases, applications, spreadsheets, and documents that hold the facts.
  • Definitions and metrics

    Agreed meanings for KPIs, fields, and calculations so the numbers match.
  • Search and retrieval

    Indexes, metadata, and retrieval so people reach the right source quickly.
  • Access and freshness

    Role-based permissions and refresh schedules matched to each question.

FAQ

Frequently asked questions

No. Dynflux starts with the sources required for the first use case. Some implementations query existing systems; others use controlled synchronization or an analytical store when appropriate.

Your team defines which source is authoritative or how a conflict should be presented. If no safe rule exists, the system should surface the disagreement rather than hide it.

Yes, when the source system and use case support it. Source visibility is an important design goal for knowledge and analytical experiences.

Yes. Access can be designed around roles, groups, data sensitivity, and existing identity systems.

Dashboards may be part of it, but the service also covers search, reporting, alerts, reconciliation, document knowledge, and question-and-answer experiences.

Start with the question that takes too long to answer.