Analytics and reporting workflows,
powered by AI.

Two reports disagree. A metric moved without an explanation. The analyst who knows the tables is away. Find the preparation behind answers your team can check.

Browse every work area
Why did the number move?A defined question, comparable periods and competing explanations.Why do two reports disagree?Metric definitions, source tables, filters and the person who settles the meaning.Is the change in the business or the data?Freshness, missing rows, source changes and monitor history.Still rebuilding the weekly pack?Repeatable definitions, useful comparisons and a clear note about what changed.

Built for the AI you already use.

  • ChatGPT
  • Claude
  • Copilot
  • Gemini

Explore the work behind the next decision.

Start with a job you recognize. Open it to see what gets prepared, the questions that remain and where a person decides.

Illustrative workflows, adapted to your own procedures and standards. Each needs to be scoped to your operation. Scheduling and system connections are possible setups, scoped separately. People retain the decisions shown.

Business questions

Turn an open-ended request into an analysis that supports a specific decision.

A stakeholder requests a new investigationAn analysis plan with hypotheses, required fields and decision criteria

Set the question before opening the spreadsheet.

Bring these each run
Business question, intended decision, existing definitions and available source descriptions.
The person decides
The analytics lead agrees the question and method with the decision owner.
Keep the exceptions visible
A missing dataset or unclear decision changes the plan; do not fill gaps with assumptions.
Work it connects
Analytics and the requesting team.

Possible setup. From approved files. On request.

A reported measure changes unexpectedlyA comparison by segment with source-linked explanations and open questions

Find which part of the business moved.

Bring these each run
Approved data export, metric definition, comparable periods and known business events.
The person decides
The analyst validates the calculation; the business owner decides what action follows.
Keep the exceptions visible
Partial periods, changed populations and duplicate joins can imitate a business trend.
Work it connects
Analytics and department owners.

Possible setup. From an approved export. When an agreed event happens.

An analysis is ready for circulationA review sheet covering calculations, assumptions, bias and unsupported claims

Check the conclusion before it travels.

Bring these each run
Draft analysis, source extracts, queries, definitions and intended audience.
The person decides
The analytics reviewer clears or returns the analysis before distribution.
Keep the exceptions visible
An attractive chart cannot resolve a missing denominator or unsuitable comparison.
Work it connects
Analytics and report recipients.

Possible setup. From approved files. On request.

Reports and dashboards

Prepare reporting artifacts around the decisions and definitions that stay useful each period.

A team asks for a new dashboardA draft dashboard with metric definitions, filters and source notes

Give the dashboard a job to do.

Bring these each run
Approved extract, audience, decision needs, reporting grain and access constraints.
The person decides
The analytics owner approves calculations and layout with the consuming team.
Keep the exceptions visible
Missing data remains missing; any demonstration values must be clearly labeled invented.
Work it connects
Analytics and dashboard users.

Possible setup. From an approved export. On request.

The agreed reporting schedule runsA period report with comparisons, source dates and exceptions

Bring the next reporting period into a familiar format.

Bring these each run
Saved report definition, approved period export, targets and prior-period results.
The person decides
The report owner approves the figures and explanation before circulation.
Keep the exceptions visible
Late source files, revised history and calendar changes need explicit treatment.
Work it connects
Analytics and department leads.

Possible setup. From an approved export. On a schedule, with review.

A completed analysis needs a decision summaryA short narrative linking findings to evidence, caveats and open choices

Make the finding readable without overstating it.

Bring these each run
Verified analysis, audience brief, chart notes and agreed definitions.
The person decides
The analyst confirms the explanation; the business owner makes the resulting decision.
Keep the exceptions visible
Association is not causation. Keep uncertain explanations separate from measured changes.
Work it connects
Analytics and decision owners.

Possible setup. From approved files. On request.

Definitions and ownership

Make the meaning of a number travel with the query that produces it.

Two teams report different values for the same metricA definition comparison with sources, filters and a proposed common measure

Put both definitions on the table.

Bring these each run
Metric formulas, source extracts, time zones, inclusion rules and owner notes.
The person decides
The named metric owner resolves the definition; analytics documents the agreed computation.
Keep the exceptions visible
Both numbers may be correct for different populations. Preserve any legitimate separate measures.
Work it connects
Analytics and metric owners.

Possible setup. From an approved export. When an agreed event happens.

A new workflow needs measurementAn event and property plan with triggers, destinations and owners

Specify the event before anyone instruments it.

Bring these each run
Business measurement goals, current event catalog, workflow description and collection constraints.
The person decides
Analytics approves measurement definitions; engineering confirms implementation and privacy owners approve collection.
Keep the exceptions visible
Do not add sensitive fields without an approved purpose. Similar event names may describe different actions.
Work it connects
Analytics, product and engineering.

Possible setup. From approved files. On request.

A team needs a reliable guide to a data domainA source guide with table grain, joins, definitions and known traps

Capture the table knowledge that lives with one analyst.

Bring these each run
Scoped warehouse schema connection and interviews with the analysts who use those tables.
The person decides
The domain analyst verifies the guide and names owners for unresolved meanings.
Keep the exceptions visible
Schema discovery cannot establish business meaning; undocumented assumptions need owner confirmation.
Work it connects
Analytics and data platform teams.

Possible setup. Through a scoped connection. On request.

Data quality

Show where the evidence changed before declaring the business changed.

A new data extract arrivesA profile of row grain, missing values, duplicate keys and unusual distributions

Understand the file before joining it.

Bring these each run
Approved dataset, schema notes, expected keys and intended use.
The person decides
The analyst decides whether the data is usable or needs correction at source.
Keep the exceptions visible
Inferred types and unexpected nulls require explanation; do not silently remove inconvenient rows.
Work it connects
Analytics and source-data owners.

Possible setup. From an approved export. When an agreed event happens.

A scoped data-quality alert arrivesAn investigation brief with affected reports, lineage and candidate causes

Trace the alert back through the data.

Bring these each run
Separately scoped observability connection, alert details, lineage and relevant job history.
The person decides
The data owner confirms the cause and authorizes remediation with the platform team.
Keep the exceptions visible
Missing lineage and inaccessible job logs remain gaps. A suspected cause is not a verified fix.
Work it connects
Analytics, data engineering and report owners.

Possible setup. Through a scoped connection. When an agreed event happens.

The agreed monitor review is dueA noise analysis with threshold options and retained coverage checks

Find out why the data monitor keeps firing.

Bring these each run
Monitor settings, alert history, known incidents and expected business cycles.
The person decides
The monitoring owner approves any threshold change after checking missed-incident risk.
Keep the exceptions visible
Seasonality can explain a pattern without making every alert harmless.
Work it connects
Analytics and data platform owners.

Possible setup. Through a scoped connection. On a schedule, with review.

Statistical interpretation

Make uncertainty and population differences visible in the answer.

A team requests a comparison of two groupsA method note with effect size, uncertainty and assumption checks

Check whether the difference supports the claim.

Bring these each run
Group-level or record-level data, sampling design, outcome definition and planned comparison.
The person decides
The analyst chooses the method and approves the interpretation; the business owner decides what to change.
Keep the exceptions visible
Small samples, repeated comparisons and non-random groups can limit conclusions.
Work it connects
Analytics and the requesting team.

Possible setup. From an approved export. On request.

A service or process review needs a clearer distributionA percentile view with extreme cases and segment differences

Show what the average leaves out.

Bring these each run
Duration or value export, population definition, units and observation window.
The person decides
The analytics owner validates the distribution; the process owner chooses follow-up.
Keep the exceptions visible
Valid extremes should not be discarded as errors. Small segments may need aggregation.
Work it connects
Analytics and operations owners.

Possible setup. From an approved export. On request.

A team attributes a result to another changing measureA correlation analysis with possible confounders and alternative explanations

Test the relationship behind the explanation.

Bring these each run
Matched observations, time boundaries, variable definitions and known interventions.
The person decides
The analyst judges what the evidence supports and what further study is needed.
Keep the exceptions visible
Shared time trends, selection effects and reverse causality can produce misleading associations.
Work it connects
Analytics and decision owners.

Possible setup. From approved files. On request.

Data model changes

Prepare the evidence for changes to tables, models and the reports that depend on them.

A data model edit is proposedA downstream impact brief with affected reports and validation needs

Find who depends on the column before changing it.

Bring these each run
Scoped lineage connection, proposed model change, query usage and current alerts.
The person decides
The analytics model owner agrees the change scope with downstream owners.
Keep the exceptions visible
Incomplete lineage cannot establish that a table is unused or that a rename is harmless.
Work it connects
Analytics, data engineering and report owners.

Possible setup. Through a scoped connection. When an agreed event happens.

A revised model is ready for validationA draft query set comparing row counts, joins and changed business logic

Give the model change a specific check.

Bring these each run
Before-and-after model files, approved change intent, schema and baseline results.
The person decides
The model owner approves and runs the checks, then decides whether to release the change.
Keep the exceptions visible
Checks must test the intended behavior; passing generic counts does not establish correct business logic.
Work it connects
Analytics and data engineering.

Possible setup. From approved files. On request.

The agreed warehouse housekeeping review is dueA retirement candidate list with usage, lineage and retention questions

Find the tables that may have outlived their purpose.

Bring these each run
Authorized warehouse connection, table inventory, query history and dependency records.
The person decides
Data owners approve archive or deletion after checking downstream use and retention instructions.
Keep the exceptions visible
Rarely queried tables may serve audit or recovery needs. Unknown ownership blocks retirement.
Work it connects
Analytics, data engineering and record owners.

Possible setup. Through a scoped connection. On a schedule, with review.

From “I prompt it”
to “it is ready to review.”

Start with a simple version of one job. Make the preparation more automatic as the inputs, rules and review process become reliable.

On request

Bring the files or exports. Run the preparation when you need it, and review what comes back.

First, agree the useful output.

On a schedule

Prepare the review at an agreed interval, with a clear owner for exceptions and missing inputs.

Next, establish access and a review queue.

When something happens

An agreed event starts the preparation. Duplicate records, failures and retries have somewhere to go.

Then, test the trigger and recovery.

The person still approves the payment, releases the work or sends the message. Scheduling and integrations are scoped to the job.

Already have a prompt
that gets you most of the way?

That is a useful starting point. Bring the prompt, an example result and the part you still have to chase or fix.

We can start by examining what you have: its inputs, the exceptions it misses and what would make it reliable enough to hand off.

Describe what you have built
How we build and review the work

Your way of doing the work, ready for the team.

Your analyst knows why two revenue figures differ and which join doubles the rows. Fully Powered Studio captures that context in reusable analysis preparation, with definitions and uncertainty beside the answer.

Fully Powered Studio captures the steps, exceptions and standards in your procedures and your people's experience. They become reusable instructions, templates and checks for the next run.

Capture what works with Fully Powered Studio

Start with the records you already have.

Start with approved files and extracts in your own AI workspace. We build with invented data; your team tests real analysis without handing over copies. Warehouse connections, event routing and scheduled reports are separately scoped.

Begin with approved files and exports in your own AI workspace. Live connections and scheduled preparation can be scoped as the work becomes reliable.

Security and your informationWork that crosses systems

AI prepares. Your people decide.

Analytics owns methods, calculations and reporting quality. Business owners approve metric meaning and decide what to do. Data engineering implements pipeline changes; privacy and compliance owners determine information-handling requirements.

Test ordinary work alongside missing records, conflicting information and unusual cases. A useful output shows what it checked and what it could not assess.

Evals, validation & verification

Build the capability you need next.

Need a metric dictionary, a repeatable report or a data incident routine? We can adapt public methods to your definitions and sources, then test the output with the analyst responsible for it.

We select reusable methods and templates, tailor them to your organization, guide first use and refine the package with your team.

Build what's missing

What is your
version of this?

One job is enough to start.

Describe what comes in, what you do now and what you wish would be ready without another prompt.

Prepare a discussion outline. Your answers stay in this browser tab. You can edit and copy the outline to bring to a conversation. Nothing is sent or saved.

Go straight to a fit call

One recurring job.
Or a connected department.

Start with one workflowFind a focused starting point in work you already do.Map your department against thisExplore connected workflows, ownership and implementation.

Existing sprints, scope and pricing are on Get started. Establishing a function? Explore building a new capability.

Which job would you like ready to review?

Bring two disagreeing reports or one recurring data question. We can map the sources, prepared answer and decision it needs to support.

Book a 30-minute fit call.