Bridging the technology gap

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Initializing systems
Business intelligence · dashboards

BI dashboard development in India. Numbers your team trusts.

We bring data from your apps and spreadsheets into one model and build dashboards that answer the questions each team asks, with checks so the numbers can be trusted.

  • DashboardsThe few numbers each team needs, clear and up to date
  • Data modelClean, well-named tables that make reports fast and consistent
  • PipelinesData pulled from your apps and files on a schedule, with checks
  • Your sourcesDatabases, spreadsheets, apps and exports, mapped first

Dashboards. The few numbers each team needs, clear and up to date

430+Clients served
16+Countries
3 cloudsAWS, Azure, Google Cloud
CertifiedAWS, Azure, RHCSA, CEH
At a glance

MOUNTSMY provides business intelligence and dashboard development from Ahmedabad, India: connecting data sources, cleaning and modelling data, building dashboards in Power BI, Metabase, Looker Studio or custom web apps, and adding data quality checks and training. Work starts with the decisions you need to make, and the dashboards stay in your own accounts.

Covers
Sources, modelling, dashboards, training
Tools
Power BI, Metabase, Looker Studio, custom
First step
A free dashboard review
You own
Models, dashboards and accounts
Before and after

From spreadsheets to one trusted view

Dashboards fail when nobody trusts the numbers. Trust is built in the data, not on the screen.

Your path to useful dashboards

Example
Data
Numbers in many filesDifferent answers to the same question
One modelled sourceOne definition for every measure
Reports
Reports built by handSlow and always late
Live dashboardsRefreshed on a schedule
Trust
Nobody trusts the figuresArguments about whose is right
Checked automaticallyQuality tests on every refresh
  • Start from decisions
  • Checks on every refresh
  • Dashboards in your accounts

An example path, drawn by us. Your review shows yours.

The reality

Six reasons dashboards go unused

Most are about data and focus, not charts.

01

Too many charts

A crowded screen answers nothing.

What we doShow the few numbers each team needs, and link to detail.
02

Numbers that disagree

Two reports show different totals.

What we doDefine each measure once in the data model.
03

Stale data

The dashboard is days out of date.

What we doRefresh on a schedule, and show when it last updated.
04

Bad data in, bad charts out

Missing or odd values distort results.

What we doAdd automatic data quality checks and alerts.
05

Slow reports

Heavy queries on the live system.

What we doUse a reporting copy and a well-built model.
06

Nobody owns it

Nobody updates it when the business changes.

What we doDocument it, train owners and agree who maintains it.
A dashboard, step by step

How we build a dashboard

We start with the questions, not the charts.

  1. QuestionsWhat decisions need data
  2. SourcesWhere the data lives
  3. PipelineCollect, clean, load
  4. ModelClean tables, clear measures
  5. DashboardBuilt with your team
  6. CheckAgainst numbers you trust
What you gain

What changes when data is organised

Good dashboards save time and end arguments.

Decisions on facts

The right numbers in front of the right people.

Reports in minutes

No more hours of manual spreadsheet work.

Numbers that agree

One definition for each measure.

Problems spotted early

Trends and exceptions visible quickly.

Access by role

People see only the data they should.

A team that uses it

Training and simple layouts.

Terms explained

Power BI, Metabase and Looker Studio: which fits?

The right tool depends on your data, team and budget.

ToolKnown forOften chosen when
Power BIRich modelling and wide Microsoft integrationYou already use Microsoft 365 or Azure
MetabaseSimple, open-source dashboards and questionsYou want a lightweight tool the team can explore
Looker StudioFree, easy reports on Google dataYour data is in Google Analytics, Sheets or BigQuery
What we cover

Five areas of BI work

We pick the tools you already have or the simplest one that fits.

Requirements and KPIs

Decide what to measure and why.

  • Decisions and questions listed
  • KPIs defined in plain language
  • A ranked list of dashboards
  • A written plan

Practice

KPI definitionsWireframes

Output

PlanQuote
How we work

Five stages from questions to dashboards

Each stage ends with something you can check against numbers you already trust.

  1. 1

    Discover

    Agree the questions and the sources.

    What happens
    • Interview each team
    • List data sources
    • Define KPIs
    You get
    • A KPI list
    • A source map
    • A fixed-scope quote
    Your part

    Tell us the decisions you make and the reports you use.

    Safety net

    We have read-only access at most.

  2. 2

    Pipelines

    Get the data flowing.

    What happens
    • Build scheduled loads
    • Clean and check data
    • Set alerts
    You get
    • Working pipelines
    • A reporting copy
    • A data quality report
    Your part

    Confirm sample figures.

    Safety net

    Your live systems stay untouched.

  3. 3

    Model

    Make the data consistent.

    What happens
    • Build clean tables
    • Define measures once
    • Document fields
    You get
    • A data model
    • A data dictionary
    • Test results
    Your part

    Check measures against known numbers.

    Safety net

    Definitions agreed before dashboards.

  4. 4

    Dashboards

    Build the views.

    What happens
    • Design layouts with each team
    • Add filters and drill-downs
    • Set access by role
    You get
    • Working dashboards
    • Scheduled reports
    • Training
    Your part

    Review with the people who will use them.

    Safety net

    Tested against numbers you trust.

  5. 5

    Run and improve

    Keep it useful.

    What happens
    • Monitor refreshes
    • Add dashboards as needs grow
    • Review usage
    You get
    • A monthly summary
    • A backlog
    • Optional support
    Your part

    Keep it yourselves, or keep us on monthly support.

    Safety net

    Everything is documented and in your accounts.

Why MOUNTSMY

A typical dashboard vendor and MOUNTSMY

We build the data underneath, not just the screens.

A typical vendorMOUNTSMY
Start pointChart designsThe decisions you need to make
DataCharts on raw exportsPipelines, a clean model and quality checks
ToolsOne favourite toolPower BI, Metabase, Looker Studio or custom
TrustNumbers nobody can explainMeasures defined once and tested
OwnershipDashboards in the vendor's accountModels and dashboards in your accounts
EngineeringReport designers onlyData engineers who also build the pipelines
What can go wrong

Six BI risks, and how we prevent them

Most come from poor data and unclear definitions.

Wrong numbersDefine measures once, test them and compare with figures you trust.
Stale dashboardsScheduled refresh, alerts on failures and a visible last-updated time.
Sensitive data exposedRole-based and row-level access, and least-privilege connections.
Slow reportsA reporting copy and a well-built model.
Tool lock-inKeep the model in open databases, so tools can change.
Abandoned dashboardsTraining, owners for each dashboard and a monthly review.

Your live systems are never slowed or changed by reporting.

Ways to work with us

Four ways to start

Most clients begin with a dashboard review.

Dashboard review

A short review of your data and questions with a ranked plan. Yours to keep.

Good for: Knowing where to start

Fixed-scope project

A clear scope, timeline and price for a defined piece of work.

Good for: A specific goal

Hourly

Fixes, audits and short tasks, billed by the hour.

Good for: Small or urgent jobs

Dedicated engineer or team

Part-time or full-time engineers working inside your tools, by the month.

Good for: Ongoing work and support
Where this fits

BI in the wider picture

It is where data work becomes visible.

FAQ

BI dashboards: common questions

Something else on your mind? Ask us directly.

Ask a question
What is a BI dashboard?

A screen that shows key business numbers from your data, such as sales, enquiries or costs, kept up to date so teams can make decisions.

Which tool should we use: Power BI, Metabase or Looker Studio?

It depends on your data and team. Power BI suits Microsoft users, Metabase is simple and open source, and Looker Studio works well with Google data. We recommend after hearing your needs.

Can you connect all our data sources?

Usually, yes. We connect databases, spreadsheets, APIs and exports, and tell you honestly if a source is not practical.

How do we know the numbers are right?

We define each measure once, test it against figures you trust and add automatic data quality checks.

Do we need a data warehouse?

Not always. For smaller data, a well-built reporting database is enough.

Can people see only their own data?

Yes. We set access by role, including row-level access where needed.

How often does the data refresh?

On a schedule that suits you, such as hourly or daily, and the dashboard shows when it last updated.

Will our team be trained?

Yes. We train users and owners and leave guides.

How much does it cost?

It depends on the sources and the number of dashboards. After a free review you get a written plan and quote.

Who owns the dashboards?

You do. The model and dashboards live in your accounts.

Related

Keep exploring.

More product & business services

Ready for dashboards your team trusts?

Book a free 30-minute call with an engineer. We’ll send a written plan and quote after.