Agent 11 — Your data has something to say

FROM RAWDATA TODECISIONS.

Business intelligence and management reporting: connect the systems you already use, ask questions in plain English, and get answers built from your own numbers with the workings visible.

  • —One reporting layer across spreadsheets, CRM, ERP and accounting
  • —Plain-language questions answered with charts and figures
  • —Every answer traceable to the underlying rows
Section 02

The business problem

Most companies already hold the information they need. It sits in different systems, in different shapes, and reaches management too late to act on.

  • Excel files that only one person can maintain
  • CRM, ERP and accounting reporting separately on the same business
  • Databases that require a developer to query
  • Website and operational data nobody joins up
  • Managers waiting days for a report
  • Questions answered with opinion because the analysis takes too long
Section 03

What MAARA actually provides

Management and departmental dashboardsData connections and importNatural-language question interfaceAutomated and scheduled reportingTrend, anomaly and forecasting assistanceDrill-down into underlying records
Section 04

What can it do?

Management dashboard

The measures your leadership actually reviews, refreshed from connected sources on a schedule you set.

Data import

Spreadsheets and CSV files uploaded, validated and mapped to your definitions, with import errors reported rather than hidden.

Database and system connections

Permitted read connections to CRM, ERP, accounting, operational databases and APIs, using credentials your IT team controls.

KPI definitions

Each measure defined once — what counts as revenue, what counts as an active customer — so every report agrees.

Revenue analysis

By period, product, branch, channel and customer, with movement explained by component.

Expense and profit analysis

Cost brought alongside revenue at the level your cost data supports, with gaps stated rather than estimated.

Customer analysis

Concentration, retention, new versus returning, and value distribution.

Operational analysis

Volumes, throughput, lead times and utilisation from your operational systems.

Trends

Direction over time with seasonality separated from genuine change.

Anomaly detection

Flags figures that fall outside historical patterns, with the comparison shown so a person can judge it.

Forecasting assistance

Projections from recorded history and known commitments, with assumptions listed and adjustable.

Natural-language questions

Ask 'why were sales lower in July?' and receive the comparison, the contributing factors found in the data, and the charts behind them.

Automated and scheduled reports

Daily, weekly or monthly packs delivered to the people who need them, generated from the same definitions.

Drill-down

Every number opens into the records that produced it, so nothing has to be taken on trust.

Section 05

How does it actually work?

Source

Spreadsheets, databases, CSV files, ERP, CRM and APIs

  1. 01

    Permitted connections established and data mapped to your definitions

  2. 02

    A manager asks: 'Why were sales lower in July?'

  3. 03

    MAARA compares periods, products, branches and customers

  4. 04

    Changes supported by the data are identified

  5. 05

    Charts generated and findings explained in plain language

  6. 06

    Manager drills into the underlying figures to verify

An answer with its workings attached.

Section 06

What will you see inside?

Management dashboard

Headline measures with movement.

Ask a question

Plain-language interface over permitted data.

Revenue and margin

By product, branch, channel and customer.

Trends

Direction over time with seasonality separated.

Anomalies

Figures outside historical pattern, with comparison.

Forecast

Projection with assumptions listed.

Scheduled reports

Packs delivered on your cadence.

Data sources

What is connected, when it last refreshed.

Section 07

A real business example

A multi-branch retail group with six locations

Before MAARA

  • Each branch sends a weekly spreadsheet in a different format
  • Head office consolidates manually every Monday
  • Margin by product is unknown between month ends
  • A dip in sales is discussed but not explained
  • Forecasting is a judgement call

With MAARA

  • Branch data is connected and mapped to one set of definitions
  • Consolidation happens continuously
  • Margin by product and branch is available at any time
  • A dip is explained by the products, branches and customers behind it
  • Forecasts are produced with visible assumptions
Section 08

What gets automated?

Employee does this todayMAARA handles / assistsEmployee still controls
Consolidates spreadsheets weeklyConnects and consolidates continuouslyDecides what the numbers mean
Builds charts for each meetingGenerates charts on requestSets the agenda and the decision
Investigates variances manuallyCompares dimensions and surfaces contributorsConfirms cause and acts
Prepares monthly report packsGenerates and distributes on scheduleWrites the commentary
Answers ad-hoc data requestsAnswers directly from permitted dataHandles the questions requiring context
Section 09

Before vs with MAARA

Reports days after the event
Answers when the question is asked
Different numbers per department
One agreed set of definitions
Variance discussed, not explained
Contributors identified in the data
Analysis needs a specialist
Managers ask directly
Numbers taken on trust
Every figure drills to source
Section 10

The business result

  • Decisions made on current information
  • Management meetings start from agreed numbers
  • Problems noticed while they can still be corrected
  • Analyst time spent on interpretation, not assembly
  • Reporting scales as the business grows
Section 11

Who is it for?

Multi-branch retail and hospitalityDistribution and wholesaleManufacturing groupsProfessional servicesHealthcare providersLogistics operatorsPrivate equity portfolio companies
Section 12

MAARA vs human control

MAARA analyses permitted data and shows its workings. It does not invent figures: where data is missing, it says so. Access follows your permissions, and commercial decisions remain with your managers.