BI Engineering Since 2015

Business intelligence, tuned for the people who use it.

Power BI, Tableau, Looker, Qlik dashboards. Embedded analytics, self service BI, real time KPIs, and the cloud data warehouse that powers it all.

Dashboards Shipped
150+
BI Engineers
40+
To First Dashboard
4 wks
Countries Served
35+
Get a free BI auditSee BI work

Executive Dashboard

Live

Revenue MTD

$2.4M+18.2%

Active users

48,219+6.4%

Conversion

4.8%+0.6 pp

Avg ticket

$184-3.1%

Revenue by region

US
EU
UAE
IN
APAC
LATAM
Refresh: 5 minSample dashboard preview
BI Services

Nine BI services we deliver every week.

Strategy, dashboards, embedded analytics, self service, real time, warehouse, ETL, mobile, and modernization. Senior BI engineers on every engagement.

  • Start with the question

    BI Strategy and Consulting

    KPI definition, tool selection, data model design, and roadmap. We help you pick the right BI investment before buying licenses.

    • KPI tree and metric definition
    • Tool selection (Power BI, Tableau, Looker)
    • Multi year BI roadmap
  • Built to be used

    Dashboard Development

    Executive, operational, and analytical dashboards in Power BI, Tableau, Looker, and Qlik. Performance tuned to load in 2 seconds or less.

    • Executive and ops dashboards
    • Drill down and slice patterns
    • Sub 2 second load tuning
  • Inside your app

    Embedded Analytics

    Embed Power BI, Tableau, Looker, Sisense, or Mode inside your SaaS product. Single sign on, row level security, white label theming.

    • SSO + row level security
    • White label theming
    • Per tenant data isolation
  • Empower business users

    Self Service BI

    Semantic layer, certified datasets, governed self service. Business users build their own reports without breaking production data.

    • Semantic layer with dbt or LookML
    • Certified datasets and metrics
    • Governance and access controls
  • Sub second freshness

    Real Time BI

    Streaming dashboards on Kafka, Kinesis, ClickHouse, or Druid. Live ops, fraud, and trading dashboards with millisecond updates.

    • Kafka, Kinesis, Flink ingest
    • ClickHouse, Druid, Pinot serving
    • Sub second dashboard refresh
  • Foundation that scales

    Data Warehouse for BI

    Snowflake, BigQuery, Redshift, or Databricks warehouse. Star schema or data vault. Optimized for BI tool query performance.

    • Snowflake, BigQuery, Redshift
    • Star schema and data vault
    • Query performance tuning
  • Data ready for reporting

    ETL and ELT for BI

    dbt, Airflow, Fivetran, Airbyte. Ingestion, transformation, and orchestration tuned for BI consumption.

    • dbt transformations + tests
    • Fivetran and Airbyte ingest
    • Airflow and Prefect orchestration
  • BI on every device

    Mobile and Embedded BI

    Native mobile BI apps, embedded dashboards in mobile and desktop apps. Offline support, push alerts, and gestures.

    • Native iOS and Android BI
    • Push alerts on KPI thresholds
    • Offline cache and sync
  • Move from legacy

    BI Modernization and Migration

    Migrate from Cognos, Business Objects, MicroStrategy, or SSRS to modern cloud BI. Parity testing through cutover.

    • Legacy report inventory and tier
    • Like for like rebuild on cloud BI
    • Parity testing through cutover
BI Tools

Ten BI platforms we build production grade with.

Power BI for Microsoft shops. Tableau for visual analysis. Looker for embedded. Open source when license cost matters.

  • Power BI

    Microsoft stack, Excel users, enterprise

  • Tableau

    Visual analysis, ad hoc, executive

  • Looker

    LookML semantic layer, embedded

  • Qlik Sense

    Associative model, in memory

  • Domo

    All in one, business user friendly

  • Sisense

    Embedded analytics for SaaS

  • Mode

    SQL and Python notebooks

  • Metabase

    Open source, fast to deploy

  • Superset

    Open source, modern, scalable

  • ThoughtSpot

    Natural language, AI search

Use Cases

Eight dashboard categories that move the needle.

Where BI changes the conversation in the next executive meeting.

  1. Sales and Revenue Dashboards

    Pipeline, quota attainment, win rate, ASP, and rep performance. Real time CRM integration.

  2. Finance and CFO Dashboards

    P&L, cash flow, AR aging, budget vs actual, and consolidated reporting across entities.

  3. Marketing Analytics

    Multi touch attribution, ROAS, campaign performance, audience segmentation, and content KPIs.

  4. Operations and Supply Dashboards

    Inventory, OEE, throughput, SLA, supplier performance, and warehouse utilization.

  5. Customer Success and Support

    CSAT, NPS, ticket SLA, churn prediction, retention cohorts, and product adoption.

  6. Product and Usage Analytics

    Feature adoption, funnel conversion, retention, MAU, DAU, and cohort retention.

  7. HR and Workforce Dashboards

    Headcount, attrition, hiring funnel, comp ratio, and engagement survey trends.

  8. Executive KPI Cockpit

    One screen view across revenue, ops, customer, product, and finance. Updated daily.

BI Tech Stack

The stack we build BI on.

Six layers from raw source to executive screen. Each one chosen for fit, not familiarity.

  1. Layer 01

    BI and Visualization

    Where business users live.

    • Power BI
    • Tableau
    • Looker
    • Qlik
    • Metabase
    • Superset

  2. Layer 02

    Data Warehouses

    Where BI queries hit at scale.

    • Snowflake
    • BigQuery
    • Redshift
    • Databricks
    • Synapse

  3. Layer 03

    Semantic and Modeling

    Trust through one definition.

    • dbt
    • LookML
    • Cube
    • AtScale

  4. Layer 04

    ETL and Orchestration

    Reliable data into the warehouse.

    • Fivetran
    • Airbyte
    • dbt
    • Airflow
    • Prefect

  5. Layer 05

    Streaming for Real Time

    Sub second freshness when needed.

    • Kafka
    • Kinesis
    • Flink
    • ClickHouse
    • Druid

  6. Layer 06

    Cloud and Storage

    Where it all runs.

    • AWS
    • Azure
    • GCP
    • S3
    • ADLS
Industries

BI for ten verticals.

Domain fluency on what to measure, what to ignore, and which dashboards executives actually open.

    • SOC 2
    • GDPR

    SaaS and B2B

    ARR, MRR, churn, expansion, cohort retention.

    • PCI
    • SOC 2

    FinTech and Banking

    Trading, risk, AML, fraud, regulatory reporting.

    • HIPAA
    • HL7

    Healthcare

    Clinical KPIs, claims, population health, RCM.

    • PCI
    • GDPR

    Retail and E-commerce

    Pricing, inventory, store, online, omni channel.

    • ISO 27001

    Logistics and Supply

    TMS, WMS, fleet, route, supplier OTIF.

    • ISO 27001

    Manufacturing

    OEE, MES, quality, yield, predictive maintenance.

    • SOC 2

    Insurance

    Underwriting, claims, fraud, loss ratio, distribution.

    • GDPR

    Media and Marketplaces

    Audience, ad ops, content, subscription, churn.

    • FERPA
    • COPPA

    EdTech

    Learner outcomes, engagement, retention.

    • PCI
    • GDPR

    Travel and Hospitality

    Yield, RevPAR, ADR, occupancy, channel.

Engagement Models

Four ways to engage our BI team.

Pick the model that fits scope, budget, and timeline. Switch as your BI estate evolves.

Fast win

Dashboard Sprint

Fixed price

From $8,000

One executive or operational dashboard built end to end. Two to four week turnaround.

Best for

Single high impact dashboard

  • Discovery + KPI definition
  • Data model + ETL setup
  • Dashboard + user training
  • Two iteration rounds included
Start here
Most Popular

Production grade

BI Foundation Build

Starting at

From $40,000

Data warehouse, semantic layer, 5 to 10 dashboards, governance, and rollout. 8 to 16 weeks.

Best for

New BI program launch

  • Cloud warehouse + dbt
  • Semantic layer setup
  • 5 to 10 production dashboards
  • Governance and rollout plan
Start here

Sustained delivery

Dedicated BI Pod

From

$9,000 / mo

Named BI engineer + analyst allocated full time. Best when you ship new dashboards monthly.

Best for

Active BI roadmaps

  • Named BI engineer + analyst
  • Direct Slack + standups
  • Quarterly architecture reviews
  • Scale team anytime
Start here

Migrate or fix

BI Audit and Modernization

Audit fee

From $5,000

Audit existing BI estate, find what is broken, recommend modernization path with cost and time.

Best for

Legacy BI environments

  • Existing report inventory
  • Performance + governance audit
  • Modernization roadmap
  • Cost and time estimates
Start here
Process

Seven phases from discovery to rollout.

Each phase has documented deliverables and a senior engineer accountable for sign-off.

  1. 1 to 2 weeks

    Discovery and KPI Definition

    Stakeholder interviews, metric tree, audience map, and success criteria.

    Deliverable

    KPI tree + audience map

  2. 1 week

    Data Model and Source Map

    Source system inventory, data model, semantic layer design, and access controls.

    Deliverable

    Data model + ERD

  3. 2 to 4 weeks

    Warehouse and ETL

    Snowflake or BigQuery setup, dbt transformations, Fivetran or Airbyte ingest.

    Deliverable

    Loaded warehouse + dbt repo

  4. 2 to 6 weeks

    Dashboard Build

    Wireframes, visual design, build in Power BI, Tableau, or Looker. Two iteration rounds.

    Deliverable

    Production dashboards

  1. 1 to 2 weeks

    UAT and Performance Tuning

    Stakeholder UAT, query tuning, refresh strategy, and load testing.

    Deliverable

    UAT sign off + perf report

  2. 1 week

    Rollout and Training

    User training, governance setup, certification of datasets, and adoption rollout.

    Deliverable

    Trained users + governance

  3. Ongoing

    Ongoing Support

    Live

    New metrics, dashboard tuning, support, and quarterly reviews. SLA backed.

    Deliverable

    SLA support + reviews

Why Decipher Zone

Numbers data teams use to pick their BI partner.

01 / 04

150+

Dashboards in production

Power BI, Tableau, Looker, Qlik, Sisense, Mode.

02 / 04

4 wks

To first live dashboard

KPIs validated, data loaded, users trained.

03 / 04

40+

BI engineers + analysts

Senior data modelers, viz specialists, governance experts.

04 / 04

35+

Countries served

Live BI deployments across US, UAE, EU, APAC.

ISO 9001 Certified4.9 / 5 on Clutch from 2,495 reviews100% IP ownershipOperating since 2015
FAQ

BI buyer questions, answered.

Direct answers on services, cost, time, BI tools, warehouses, embedded, real time, security, and ownership.

What is a business intelligence services company?

A business intelligence services company designs and builds the data foundation, dashboards, and reporting layer that lets business users see what is happening in their business and decide what to do next. Engagement covers KPI definition, data warehouse setup, ETL pipelines, dashboard development in Power BI, Tableau, or Looker, user training, and ongoing support.

How much do business intelligence services cost?

A single dashboard sprint starts around 8,000 USD. A full BI foundation with cloud warehouse, semantic layer, and 5 to 10 dashboards runs 40,000 to 150,000 USD. A dedicated BI pod is 9,000 USD per month. A BI audit on an existing estate is 5,000 USD. We share a detailed estimate after discovery.

How long does business intelligence implementation take?

A single dashboard goes live in 2 to 4 weeks. A new BI foundation with warehouse plus 5 to 10 dashboards usually runs 8 to 16 weeks. A legacy BI modernization runs 4 to 9 months depending on report count and complexity.

Which BI tools do you specialize in?

Power BI, Tableau, Looker, Qlik Sense, Sisense, Mode, Metabase, Superset, ThoughtSpot, and Domo. Tool selection depends on user profile, existing tech stack, embedded vs standalone needs, and licensing budget. We help you pick before you buy.

Do you build the data warehouse too?

Yes. Snowflake, BigQuery, Redshift, Databricks, and Azure Synapse. We design the star schema or data vault, build dbt transformations, set up Fivetran or Airbyte ingest, and tune query performance for BI tool consumption.

Can you embed analytics inside our SaaS product?

Yes. We embed Power BI, Tableau, Looker, Sisense, or Mode inside SaaS products with single sign on, row level security, white label theming, and per tenant data isolation. We also build custom dashboards in React with chart libraries when off the shelf does not fit.

Do you support real time and streaming BI?

Yes. Kafka or Kinesis for ingest, Flink or Spark Streaming for processing, ClickHouse or Druid for serving, and sub second dashboard refresh. Best for ops, fraud, and trading use cases.

Can you migrate from legacy BI like Cognos or Business Objects?

Yes. We inventory existing reports, tier them by usage, rebuild like for like in modern cloud BI, run parity testing, train users, and execute cutover. Legacy retirement is part of the engagement.

Do you do self service BI and governance?

Yes. We set up a semantic layer with dbt or LookML, certify datasets, define metric ownership, configure row level security, and train business users to build their own reports without breaking production data.

How do you ensure BI security and compliance?

Encryption at rest and in transit, role and row based access control, audit logs, data masking, and least privilege IAM. For regulated workloads we implement HIPAA, PCI DSS, SOC 2, and GDPR controls. Threat modeling at architecture phase.

Do you own the dashboards or do we?

You own 100 percent of dashboards, source files, data models, dbt repos, infrastructure, and IP. All assignments happen at kickoff. Code and dashboards are delivered to a client owned environment continuously.

Do you serve clients in the US, UAE, Saudi Arabia, and Europe?

Yes. We work with clients across the US, UAE, Saudi Arabia, UK, Europe, and APAC. Delivery from India with business hours overlap aligned to your team. BI we have built serves users in 35+ countries.
Talk to BI

Bring us the metric your team cannot trust yet.

A 30 minute call with a senior BI engineer, a free BI audit, and a written architecture brief within 3 business days.

  • Free BI audit
  • Architecture brief in 3 days
  • NDA on request
  • No obligation
Book a free BI auditSee BI work
Free 30-minute consultation

Talk to senior engineers, not salespeople.

Share your scope. A senior developer reviews it, walks you through the trade-offs, and sends a written summary after the call. NDA before any details are discussed.

  • Written estimate within 5 business days
  • Senior engineer on the first call
  • Code stays in your repository
  • ISO 9001 certified shop
4.9 / 5from 2,495 reviews
350+ builds shipped

Talk to Senior Engineers

Available

30 minute call. Written summary after. No pitch deck.

NDA signed before any project details are shared