Data analytics consultancy

Data work that changes what happens next.

Smart Analytics helps finance, retail, sales, FMCG, manufacturing and MSME teams across India turn scattered operational data into decisions worth acting on — not another dashboard nobody opens.

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How we work

Three pillars, one practice.

Most engagements move through some version of this — see clearly, understand why, then build the habit of acting on it.

See

Reporting & dashboards

A clear, current view of what's actually happening across stores, regions or accounts — built to be opened, not just built.

Understand

Applied & predictive analytics

Analysis that explains why the numbers moved, and what's likely to happen next — not just a chart with a caption.

Act

Data foundations & support

For teams without a data function yet — the structure and ongoing support that make the first two pillars stick.

Let's make your data useful.

Industries

We go deep into a sector before we generalise.

These are the industries our work spans most often — all of them lean heavily on operational data, even when they don't yet have the tools to use it well.

Finance & BFSI

Financial reporting, reconciliation support and portfolio-level analysis for lenders, insurers and financial services teams.

Retail & e-commerce

Store and channel performance, inventory patterns and customer analysis for retail chains, marketplaces and standalone brands.

Sales & distribution

Pipeline, territory and distribution analytics for sales teams who need to know where performance is actually coming from.

FMCG & consumer goods

Distribution, demand and SKU-level analysis for fast-moving consumer goods brands operating across many markets.

Manufacturing & supply chain

Production, inventory and logistics data brought together to flag bottlenecks before they become costly.

Healthcare & pharma

Operational reporting for clinics, pharmacies and distributors — patient volumes, stock levels and compliance-adjacent tracking.

Logistics & transportation

Route, fleet and fulfilment data analysis for businesses moving goods across cities and regions.

MSMEs, all sectors

Smaller and mid-sized businesses outside these categories that need a first proper data setup rather than an enterprise-scale one.

Expertise

Technical depth, paired with domain context.

We pair the technical side of data work with a working knowledge of the sectors we operate in — one without the other tends to produce analysis nobody trusts or nobody uses.

Technical expertise

The craft of the work

Data engineering & pipeline clean-up, business intelligence & dashboarding, statistical and predictive analysis, and the reporting layer that turns all of it into something a non-analyst can use confidently.

Domain expertise

The context behind the numbers

Retail and FMCG sales cycles, distribution and territory structures common in Indian sales operations, financial reporting conventions, and the resource constraints typical of MSMEs.

Data engineering

Cleaning, structuring and connecting messy or disconnected data sources.

BI & dashboards

Purpose-built views tied to metrics a business actually tracks.

Predictive analysis

Forecasting demand, sales and other patterns from historical data.

Data strategy

Deciding what to track, how, and who should be looking at it.

Products

Fixed-scope offerings, when you don't need a custom engagement.

Not every problem needs an open-ended project. These are productised starting points with a set scope, timeline and deliverable — sample offerings, ready to be renamed and priced before publishing.

For first-time setups

MSME Data Starter

Duration

~4 weeks

Deliverable

One clean, working dashboard and a basic weekly reporting habit

Ideal for

Businesses with no data team yet, working mostly off spreadsheets

For retail & FMCG

Retail Performance Pack

Duration

6–8 weeks

Deliverable

Store and SKU-level performance dashboard, plus a monthly trend read-out

Ideal for

Retail chains and FMCG distributors tracking multiple locations or SKUs

For an existing dashboard

Dashboard Rescue

Duration

2–3 weeks

Deliverable

An existing dashboard rebuilt, documented and made trustworthy again

Ideal for

Teams with a dashboard nobody quite trusts anymore

Solutions

Where we typically get pulled in.

Broader capability areas we draw on — most custom engagements combine two or three of these rather than fitting neatly into one.

Data analytics & reporting

Turning raw transactional, operational or sales data into reports that are actually read — not just filed away after month-end.

Business intelligence dashboards

Purpose-built dashboards tied to the metrics a business genuinely tracks, rather than a generic template of charts.

In practice: we've rebuilt store-level dashboards for a large-format retail chain (Vishal Mega Mart) that leadership actually trusted again.

Sales & retail analytics

Store, SKU and channel-level analysis for retail and FMCG teams that need to know what's actually moving.

In practice: regional sales and distribution tracking for an FMCG brand (Dabur) across multiple markets.

Data strategy for smaller businesses

Helping smaller businesses put basic data collection and reporting practices in place before investing in anything more complex.

Predictive & trend analysis

Forecasting demand, sales or other patterns from historical data, scoped to what the business can realistically act on.

Custom data projects

One-off or ongoing work scoped to a specific problem — a messy dataset, a one-time analysis, or a recurring reporting need.

Before publishing: confirm Dabur and Vishal Mega Mart are comfortable being named here, and replace these lines with the specific, approved detail for each engagement.

Partners

Platforms we build on.

We're tool-agnostic by design and pick whatever a client already runs on, but these are the platforms we work in most often.

Bi

Power BI

Dashboards & reporting

Tb

Tableau

Visualization & BI

Sh

Excel & Sheets

Analysis & modelling

Py

Python & SQL

Data engineering

We work as an independent analytics consultancy — this is a list of tools we're proficient in, not a claim of formal partnership or certification with the vendors above.

About Us

We started Smart Analytics because most Indian businesses we met had plenty of data and very little use for it.

Smart Analytics is a data analytics consultancy based in India. We work with organisations that generate a lot of operational data — sales figures, transaction logs, store or distribution numbers — but don't yet have the internal team to turn that into something usable. Our work has included Dabur in FMCG, Vishal Mega Mart in retail, and a number of MSMEs that are analytics-curious but resource-constrained.

Across finance, retail, sales, FMCG and beyond, the underlying problem tends to repeat: the data exists, but it lives in disconnected spreadsheets, legacy reports or systems nobody fully trusts. Our job is to make that data legible — clean it, structure it, and build the reporting or analysis layer that lets people actually make decisions with it.

We keep engagements scoped to a real business question rather than selling a fixed "analytics package." Some clients need a single dashboard rebuilt properly; others need ongoing support as an outsourced analytics function. Both are common.

01

Understand the problem

Before touching any data, we sit with the actual business question — what decision this needs to support, and who's making it.

02

Structure the data

Source, clean and organise the underlying data — often the part that takes longest, and the part most projects skip.

03

Deliver something usable

A dashboard, report or model that's built to be used weekly, not opened once and forgotten.

Get in touch

Tell us what you're trying to figure out.

Whether it's a specific dataset or a broader "we know we should be doing more with our data" — happy to have a first conversation.

Email

hr@smartanalyticssolutions.org

Phone

+91 00000 00000

Based in

India