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IT Services · Data & AI

Trusted Data.
One Version
of the Truth.

Modern data platforms, analytics and governance that business users trust — on Snowflake, Databricks, Microsoft Fabric, BigQuery, Redshift or Oracle.

Analytics dashboard on a laptop
Overview

Enterprise Intelligence (Data, Analytics & Governance)

We build modern data platforms and analytics that business users trust — from pipelines and real-time streaming to lakehouses, semantic layers, BI and governance — on Snowflake, Databricks, Microsoft Fabric, Google BigQuery, Amazon Redshift or Oracle Autonomous Database.

Industries: Healthcare, Financial Services, Higher Ed, Public Sector, Retail, Hospitality & Gaming

10 Offerings

Select an offering for activities, outcomes and technologies.

Offering details

Inside Every Offering

Activities and deliverables, business outcomes, technologies and how each engagement is bought.

01 / 10

EI-01

Data & Analytics Strategy and Modern Architecture

Assess data maturity and design a modern, platform-neutral architecture — lakehouse, data mesh or data fabric — aligned to business priorities.

Outcomes

Clear data strategy tied to business outcomes; unbiased platform decisions.

Fixed-fee assessment (3–4 wks)
Discuss this offering

Activities & deliverables

  1. 01Maturity assessment
  2. 02Target-state architecture
  3. 03Platform selection
  4. 04Operating model
  5. 05Prioritized roadmap

Technologies & platforms

SnowflakeDatabricksMicrosoft FabricGoogle BigQueryAmazon RedshiftOracle Autonomous Data Warehouse
EI-02

Data Engineering & Integration

Build resilient batch, ELT and change-data-capture pipelines that unify data from every system into a governed source of truth.

Outcomes

Reliable, timely data; fewer manual data pulls; reusable pipelines.

Agile T&MFixed-scope
Discuss this offering

Activities & deliverables

  1. 01Ingestion frameworks
  2. 02ELT/transformation (dbt)
  3. 03Orchestration
  4. 04Data contracts
  5. 05CI/CD for data

Technologies & platforms

dbtFivetranInformatica IDMCMatillionAzure Data FactoryAWS GlueGoogle DataflowOracle Data Integrator/GoldenGateAirflowQlik Replicate
EI-03

Real-Time Streaming & Big Data

Engineer high-volume, low-latency data platforms for event-driven analytics and operations.

Outcomes

Real-time decisions (fraud, operations, customer events); scalable big-data processing.

Activities & deliverables

  1. 01Streaming architecture
  2. 02Kafka/Flink pipelines
  3. 03Stream processing
  4. 04Real-time dashboards
  5. 05Scaling & tuning

Technologies & platforms

Apache Kafka/ConfluentApache FlinkSpark Structured StreamingAmazon Kinesis/MSKAzure Event HubsGoogle Pub/SubSnowpipe Streaming
EI-04

Cloud Data Platform Implementation

Implement and optimize modern data platforms with security, performance and cost controls built in.

Outcomes

Elastic, governed analytics platform; faster query performance; controlled spend.

Activities & deliverables

  1. 01Platform setup
  2. 02Medallion/lakehouse design
  3. 03RBAC & security
  4. 04Workload management
  5. 05Performance & cost tuning

Technologies & platforms

SnowflakeDatabricksMicrosoft FabricBigQueryRedshiftOracle ADWApache Iceberg/Delta Lake open table formats
EI-05

Business Intelligence & Self-Service Analytics

Turn fragmented reporting into unified, self-service dashboards — one semantic layer, consistent numbers, faster decisions.

Outcomes

Faster decisions, one version of the truth, reduced report backlog.

Activities & deliverables

  1. 01KPI framework
  2. 02Dashboard design & UX
  3. 03Report development
  4. 04Embedded analytics
  5. 05BI CoE & training

Technologies & platforms

Power BITableauOracle Analytics Cloud/OBIEELookerQlikSigmaThoughtSpot
EI-06

Semantic Layer & Metrics Governance

Define business metrics once and reuse them across BI tools and AI agents — the foundation for trustworthy AI-driven analytics.

Outcomes

Consistent KPIs everywhere, accurate natural-language analytics, less rework.

Fixed-scopeAccelerator-led
Discuss this offering

Activities & deliverables

  1. 01Metric definitions
  2. 02Semantic model design
  3. 03Cross-tool interoperability
  4. 04AI/text-to-SQL readiness

Technologies & platforms

Snowflake Semantic ViewsPower BI semantic modelsdbt Semantic LayerDatabricks Metric ViewsAtScaleCubeLookMLOpen Semantic Interchange (OSI)
EI-07

Data Governance, Catalog & Lineage

Establish catalogs, lineage, ownership and stewardship so data stays trusted, secure and audit-ready.

Outcomes

Trusted data, regulatory compliance, faster data discovery.

AdvisoryFixed-scope
Discuss this offering

Activities & deliverables

  1. 01Governance operating model
  2. 02Data ownership & stewardship
  3. 03Business glossary
  4. 04Catalog & lineage implementation
  5. 05Policy enforcement

Technologies & platforms

CollibraAlationMicrosoft PurviewDatabricks Unity CatalogSnowflake HorizonInformatica CDGCAtlan
EI-08

Master Data Management & Data Quality

Create golden records for customers, products, providers and suppliers with continuous data-quality monitoring.

Outcomes

Accurate core data, fewer downstream errors, trusted reporting.

Fixed-scopeManaged
Discuss this offering

Activities & deliverables

  1. 01MDM domain design
  2. 02Match/merge rules
  3. 03Data-quality rules & scorecards
  4. 04Data observability

Technologies & platforms

Informatica MDMReltioProfiseeSemarchyMonte CarloGreat ExpectationsSoda
EI-09

Data Products, Sharing & Monetization

Package governed data as reusable products and share it securely with partners, customers or marketplaces.

Outcomes

New revenue streams, faster partner collaboration, reduced data copies.

Activities & deliverables

  1. 01Data product design
  2. 02Data contracts
  3. 03Secure sharing
  4. 04Clean rooms
  5. 05Marketplace listings

Technologies & platforms

Snowflake Marketplace & Data Clean RoomsDatabricks Delta Sharing & MarketplaceAWS Data ExchangeGoogle Analytics Hub
EI-10

Advanced Analytics & Data Science

Apply statistics and machine learning to forecasting, segmentation, risk and optimization problems.

Outcomes

Better forecasts, targeted interventions, measurable ROI.

Activities & deliverables

  1. 01Use-case framing
  2. 02Feature engineering
  3. 03Model development
  4. 04Validation
  5. 05Insight storytelling

Technologies & platforms

PythonRSnowparkDatabricks MLSageMakerAzure MLVertex AIOracle ML
Accelerators & reusable IP

Proven Playbooks, Not Blank Pages

Reusable assets our teams bring to every engagement.

Semantic Layer Starter Kit

Metric templates and patterns for Snowflake Semantic Views, Power BI, dbt; AI-readiness checklist.

Data Governance Jumpstart

Operating model, RACI, glossary templates, catalog rollout plan.

Why act now

The Market Is Moving

Market shifts shaping Enterprise Intelligence decisions in 2026.

2 trends to watch
  1. 01

    IT spending is accelerating, but AI infrastructure and software outpace services

    Gartner (Jul 2026): worldwide IT spending $6.37T in 2026 (+14.2%); IT services $1.57T (+5.3%); software +15.5%; data center systems +62.5%.

    Gartner press release, 27 Jul 2026
  2. 02

    Security, privacy and compliance by design

    NMS Consulting 2026 trends: security/privacy leads join from first discovery workshops; SOC 2 / ISO 27001 controls and evidence plans become standard in cloud and data projects.

    NMS Consulting, IT Services Consulting Trends 2026
Technology & platforms

No Cloud or Technology Barrier

Certified architects across all four major clouds and the leading independent platforms — recommendations follow your requirements, not partner incentives.

Showing AWS + independent platforms

01AWS

Data warehouse / lakehouse

RedshiftS3Lake Formation

Any cloud: Snowflake · Databricks · Apache Iceberg · Delta Lake

02AWS

Data integration & ELT

GlueDMSAppFlow

Any cloud: dbt · Fivetran · Informatica · Matillion · Airflow · Qlik Replicate

03AWS

Streaming

KinesisMSK

Any cloud: Kafka/Confluent · Flink · Spark

04AWS

BI & analytics

QuickSight

Any cloud: Tableau · Qlik · Sigma · ThoughtSpot

05AWS

Semantic layer

Covered by independent platforms below

Any cloud: Snowflake Semantic Views · dbt Semantic Layer · Databricks Metric Views · AtScale · Cube · OSI

06AWS

Governance & catalog

DataZoneLake Formation

Any cloud: Collibra · Alation · Unity Catalog · Snowflake Horizon · Atlan · Informatica

Vendor-neutral by design

Technology Without Boundaries.

FixityTech is a vendor-neutral, full-stack IT services partner that helps organizations modernize, secure and run their technology — from cloud and data to AI, applications and managed operations — on the platforms that fit their business, not ours.

We hold partnerships across major platforms but no single-vendor allegiance. Every recommendation is based on your requirements, total cost of ownership and existing investments.

Delivered from Chicago, USA, San Francisco, USA, Querétaro, Mexico (nearshore), Hyderabad, India (offshore) — onsite, nearshore, offshore and blended teams; follow-the-sun support.

10
Enterprise Intelligence offerings
12
Service lines
4
Major clouds
3
Delivery countries
How we engage

Discover. Roadmap. Deliver. Run & Improve.

  1. 01

    Discover

    Rapid assessment of current platforms, data and priorities — 2–3 weeks.

  2. 02

    Roadmap

    Joint modernization roadmap, architecture and business case aligned to client goals.

  3. 03

    Deliver

    Pilot kickoff, then phased delivery with embedded governance.

  4. 04

    Run & Improve

    Managed services with SLAs and continuous optimization — closes the lifecycle loop.

Engagement models

Buy the Way That Fits

How Enterprise Intelligence engagements are bought.

  1. 01

    Discovery & Assessment

    Fixed-fee, time-boxed (2–4 week) assessment producing findings, roadmap and business case.

    Best for

    New clients, migrations, AI/data strategy, security

    Pricing

    Fixed fee

  2. 02

    Pilot / Proof of Value

    Fixed-scope 4–8 week pilot proving value on real data before scaling.

    Best for

    GenAI, agentic AI, conversational analytics, RPA

    Pricing

    Fixed fee

  3. 03

    Fixed-Scope Project

    Defined scope, deliverables and timeline.

    Best for

    Implementations, migrations waves, app builds

    Pricing

    Fixed price / milestones

  4. 04

    Agile Delivery (T&M)

    Flexible sprint-based delivery where scope evolves.

    Best for

    Product engineering, complex modernization

    Pricing

    Time & materials / capped T&M

  5. 05

    Managed Services

    Ongoing run & improve under SLAs, tiered by coverage.

    Best for

    Apps, cloud, data, AI, security operations

    Pricing

    Monthly subscription / SLA tier

Industries

Industries We Serve

Healthcare, Financial Services, Higher Ed, Public Sector, Retail, Hospitality & Gaming.

Healthcare & Life Sciences

Modernization, data and security for providers, payers and life-sciences organizations.

Public Sector

Federal, state and local agencies modernizing legacy systems and citizen services.

Higher Education

Student, research and administrative platforms built to be accessible and secure.

Financial Services & Insurance

Trusted data, AI and applications for regulated financial institutions.

Hospitality, Gaming & Entertainment

Guest experience, loyalty and always-on platforms for hotels, resorts and gaming.

Retail & Consumer Goods

Unified commerce, customer data and demand forecasting for retailers and brands.

City skyline
Next step

Start with a data & analytics maturity assessment: where your platform, governance and BI stand today, and the roadmap to AI-ready data.