$2M saved in FDA compliance
$2M saved in FDA compliance
Data Management Services & Solutions
Ccube's data management consultants help enterprises govern, clean and connect their data, unlocking faster analytics, reliable AI agents and personalized applications. Most engagements move from strategy to live production in 90 days, led from our Silicon Valley headquarters in Cupertino, California.
90 days from strategy to live production
DB Databricks partner
CA Headquartered in Cupertino
Performance Snapshot: Results Delivered Through Connected Data, AI & Apps
10+
Services
30+
Happy Clients
90%
Client Retention
1K+
APIs
$1M
in Savings Per Project
Proven Across Data, AI & Apps
90days
From strategy to live production
100+years
Combined Silicon Valley experience
90%
Client Retention
~70%
Reduction in pipeline processing time
90%
Client retention
$1M
in Savings Per Project
Company-wide figures and client project results across Ccube's data, AI and app programs.
$2M saved in FDA compliance
$2M saved in FDA compliance
What Do Data Management Services Include?
Short answer
Data management services cover how your organization collects, stores, governs and uses data. A data management consultant assesses where you are today; Ccube's team then designs, builds and runs the policies, architecture and tooling that make your data accurate, secure and usable.
In practice the work covers six areas: data strategy, data governance, data quality and master data management (MDM), the data platform (warehouse, lake or lakehouse), lifecycle and security policy, and the automation that keeps it all running.
Software alone doesn't do this. A platform stores and moves data; a consultant decides who owns each dataset, what "correct" means for it, which rules apply and how those rules are enforced every day. Most stalled data programs have plenty of tools and no agreed definitions.
Our Data Management Services
We deliver each data management service on its own or as one program on Ccube's 30-60-90 day plan, starting from the platforms you already run. Every workstream ends with something your team can use, not just a recommendation.
Data Strategy & Maturity Assessment
We map your data sources, owners and flows, score maturity across governance, quality, architecture and security. Whether you're moving from on-premises to the cloud or migrating across clouds, our data team can help accelerate your journey.
What you get
- Current-state map of your data
- Maturity scorecard
- AWS, Azure, GCP, Databricks and Snowflake certified data team
Data Governance
We set who owns each data domain, who can use it and which standards apply, then build those rules into your platforms through catalogs, role-based access and retention policies, so governance happens by default.
What you get
- Ownership and stewardship model
- Business glossary and data catalog
- Role-based access rules
Data Quality & Master Data Management
We profile and cleanse critical data, then create golden records for customers, products, suppliers and assets. Automated checks watch accuracy, completeness, consistency, timeliness and uniqueness at the source.
What you get
- Golden records for priority domains
- Matching and deduplication rules
- Data quality scorecard
Lakehouse & Enterprise Data Platform
We design and build an enterprise data management platform, often a lakehouse on Databricks or Snowflake, that gives you one source of truth for analytics and AI, with governance built in from the first table.
What you get
- Target architecture
- Governed lakehouse layers
- Self-service access for analysts
Data Lifecycle, Security & Compliance
From creation to deletion, we apply retention, encryption, access-review and deletion policies mapped to the rules your business answers to, such as HIPAA, SOX, GLBA and CCPA.
What you get
- Retention and deletion schedule
- Encryption and masking for sensitive data
- Audit-ready lineage and access logs
Data Operations Automation
We automate how your data platform runs: auto-scaling, self-healing pipelines, space-utilization reporting, proactive monitoring and real-time alerts, so fewer issues reach your team.
What you get
- Monitoring and real-time alerts
- Self-healing pipeline patterns
- Usage and capacity reporting
Data Management vs. Governance vs. MDM
The three terms are often used interchangeably, but they are different layers of the same job. Most enterprise data management solutions need all three.
| Predictive ML | GenAI with RAG | AI agents | |
|---|---|---|---|
| What it is | The full discipline of collecting, storing, integrating, securing and using data across its lifecycle | Policy Q&A, contract review | Updating CRM records, triaging claims |
| Question it answers | integrating, securing and using data across | Minutes to days | Seconds to minutes |
| Typical outputs | its lifecycle | Permission-aware retrieval | Least-privilege access, audit trail of actions |
| Usually owned by | Storage, quality, features | Ingestion, metadata, vectors | Integration, semantic layer, governance |
Governance sets the rules, MDM applies them to your most shared records, and data management runs everything around both.
$2M saved in FDA compliance
$2M saved in FDA compliance
Get Your Data Ready for AI
AI agents and GenAI applications are only as reliable as the data they retrieve. When an AI pilot stalls, the cause is often the data behind it: nobody trusts it, or nobody is allowed to use it.
Because Ccube also builds AI agents and LLMOps pipelines, we prepare your data for the AI you actually plan to run:
- Permission-aware access, so an agent retrieves only what the person asking may see
- Curated, versioned knowledge sources for retrieval-augmented generation (RAG)
- Lineage that traces every AI answer back to its source data
- Quality checks on the data your models learn from and retrieve
From Assessment to Results in 90 Days
Every data management engagement runs on Ccube's 30-60-90 day plan, starting with a review of your current data. Most engagements move from strategy to live production in 90 days.
Days 0–30
Assess & Plan
Stakeholder interviews, a data inventory, maturity scoring and a ranked list of use cases.
Outcome
Your data management roadmap
Days 31–60
Build Foundations
Governance roles and policies, quality rules, the master data model and the target architecture, applied first to your highest-value data.
Outcome
Foundations in place for your priority domain
Days 61–90
Go Live & Hand Over
Automation, monitoring, catalog rollout and steward training, plus a plan for the next domains.
Outcome
A running operating model your team owns
Ongoing
Run & Optimize
Optional support: we monitor quality, tune performance and onboard new sources as you grow.
Outcome
Sustained data quality and platform health
Client Results Built on Better Data
Four outcomes from Ccube data programs, from compliance pipelines to platforms that handle millions of readings.
Healthcare
Automated FDA Regulatory Validation
Audit-ready data pipelines built for healthcare clients, automating FDA regulatory validation.
BFSI
Dual track CRM & Data Warehouse Modernization
Modernized legacy CRM and data warehouse systems into a unified, cloud-native platform that improved advisor productivity, data reliability, and AI readiness.
Food Service
Scaling Food Operations Across 3,000+ Cafés with Data & AI
Helped a $400M global food service enterprise connect data, systems and workflows for real-time visibility and faster decisions.
Energy & Utilities
Millions of Smart Meter Readings, ADA-Compliant
A scalable, ADA-compliant platform that turns smart meter readings into actionable insights, built for global access.
Data Solutions Shaped by Your Industry
Regulation, data volume and speed differ by industry, so our enterprise data management solutions do too.
BFSI
Financial institutions need data management built around their compliance reality, not adjusted to fit it.
- Governed customer and transaction data under GLBA, SOX and CCPA
- Lineage from source systems to regulatory reports
- Clean, reliable data for risk models and look-alike analysis
Aviation
Airlines and aviation platforms run on tight margins and schedules. We give booking, operations and maintenance data one trusted source.
- Unified booking, fleet and passenger records
- Data ready for analytics that flag disruptions early
Healthcare
Healthcare data has to move fast and stay compliant. We treat HIPAA and FDA requirements as part of the data design, not an afterthought.
- Access controls, masking and retention for protected health information
- Audit-ready pipelines for FDA regulatory validation
- Trusted patient and provider data for analytics and new product launches
Edtech
Learners drop off when a platform feels clunky. We keep EdTech data clean and fast as enrollment grows.
- Unified learner, course and booking records
- Data infrastructure built to scale from day one
Food Service
Multi-location food businesses lose money in the gaps between locations. We close those gaps with connected data.
- One view of menu, POS and inventory across every kitchen
- Data ready for AI forecasting that cuts ordering guesswork
Utilities & Energy
Energy operators need to modernize without disrupting what works. We make high-volume meter and grid data reliable enough to act on.
- Validation rules for high-volume meter reads
- Accessible, ADA-compliant reporting
Built for Every Stage of Growth
Our data management solutions follow the same method at every size. The scope, the speed and what "done" looks like change with your company and your data.
Early-Age Funded Startups
Get the foundations right before data debt builds up
- A clean data foundation and clear ownership from the first domain
- A cloud warehouse or lakehouse sized for your next stage of growth
- Access rules ready for your first enterprise customer's security review
Usual starting point: Strategy Blueprint, then Talent Surge to build
Mid-Size Companies
Consolidate what grew up in silos
- One version of customers, products and suppliers across CRM, ERP and billing
- Retire overlapping tools and duplicate pipelines
- Reporting that finance, sales and operations agree on
Usual starting point: A Turnkey Managed POD on one data domain
Enterprises
Govern many domains under real regulatory pressure
- An enterprise data governance operating model with data stewards
- Master data management across business units
- Lineage and audit evidence for SOX, HIPAA, GLBA and CCPA
Usual starting point: Strategy Blueprint across domains, Turnkey PODs per domain
Choose How We Work Together
Engage with us in the way that best fits your team, scope, and stage of growth.
Strategy Blueprint
A clear 30–60–90 day plan to align Data, AI, and Apps strategy with business goals and deliver measurable momentum.
Turnkey Managed
POD-based, end-to-end execution with built-in governance and expert oversight, designed for efficient, scalable delivery.
Talent Surge
Rapid access to 10,000+ vetted Data, AI, and Apps specialists across the US and India, ready for immediate onboarding.
Works With the Tools You Already Own
We are platform-agnostic: we start from the stack you run today and recommend a new tool only when one blocks the outcome.
Talk to us about a lakehouse audit
Databases
Cloud
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Databricks Partner
Modernizing enterprise data lakehouses
Ccube partners with Databricks to modernize enterprise data lakehouses, so governed data is ready for analytics and AI on one platform.
How to Choose a Data Management Partner
Data management consulting companies tend to list the same services. Ask any firm, Ccube included, these six questions; a strong partner answers each one with evidence.
| Question to ask | Why it matters | A strong answer | Ccube's answer |
|---|---|---|---|
| Have you done this in our industry? | Regulated data needs domain knowledge | Named outcomes in your sector | Programs in healthcare, BFSI, food service, energy, aviation and EdTech (see Client Results) |
| When will we see a working result? | Long programs lose sponsors | A dated milestone in the first quarter | A 30-60-90 day plan; most engagements reach live production in 90 days |
| Will you work with our current platforms? | Rip-and-replace adds cost and risk | A platform-agnostic assessment | We start from your stack and replace only what blocks outcomes |
| Who runs governance after you leave? | Governance that depends on the consultant fails | Trained owners and policies built into tools | Data owners, stewards and documented policies handed to your team |
| Can you build what comes after the data? | Handoffs between vendors create gaps | Data, analytics and AI in one team | Data, AI and apps delivered by one accountable team |
| Who will we actually work with? | Senior advice often disappears after the sale | Named leads with relevant experience | Programs led by Ccube's technology leaders (see below) |
Chief Technology Officer (CTO)
Ajay Khandelwal
Two decades of hands-on experience in data architecture and cloud solutions. Ajay designs the scalable, efficient frameworks behind Ccube's enterprise data platforms.
Chief Data Scientist
Greg Makowski
Two decades in AI and machine learning, building advanced models across industries and turning complex data into actionable insights.
VP of Data
Nitin Mogra
15 years delivering scalable, enterprise-grade data solutions across the US and India, with deep expertise in fraud detection, customer experience and advanced reporting and analytics.
VP, Solutions Engineering
Saurabh Nigam
16+ years driving enterprise transformation through data and AI architecture, scalable platforms and engineering excellence. He builds high-performing teams and turns complex data challenges into business value.
Meet Our Technology Leaders
Bringing two decades of experience to the field of AI/ML, Greg is a trailblazer in developing advanced models across industries. He translates complex data into actionable insights, enabling businesses to address real-world challenges and drive innovation.
Page last updated November 3, 2026
Frequently Asked Questions
What are data management services?
Data management consulting services help an organization plan, build and run the practices that keep its data accurate, secure and usable. They usually cover data strategy, governance, data quality, master data management, metadata and cataloging, lifecycle and security policy, and the data platform itself. Ccube delivers them as separate workstreams or as one program on a 30-60-90 day plan.
Which industries does Ccube work with?
Ccube works with companies in healthcare, BFSI, aviation, food service, utilities and energy, and EdTech. Results include $2M in FDA compliance savings for healthcare clients, connected data across 3,000+ cafés and a platform for millions of smart meter readings.
What is the difference between data management and data governance?
Data governance is one part of data management. Governance sets the rules: who owns data, who can access it and what standards it must meet. Data management is the full discipline that puts those rules into practice, including storage, integration, quality, security, lifecycle and operations.
What is the difference between data management and master data management?
Master data management is one part of data management. MDM keeps a single trusted record for core entities such as customers, products and suppliers. Data management also covers platforms, integration, quality, security and lifecycle for all your data.
How long does a data management engagement take?
Ccube runs engagements on a 30-60-90 day plan, and most move from strategy to live production in 90 days. Enterprise-wide programs then roll out domain by domain.
How much do data management services cost?
Cost depends on the number of data sources and domains, data volume, regulatory scope, the state of your current platforms and whether you need strategy only or full delivery. Ccube scopes each engagement after an initial consultation, so you get a defined plan rather than an open-ended estimate.
Are data management services only for large enterprises?
No. Funded startups use it to set ownership, quality rules and a scalable platform before data debt builds up. Mid-size companies use it to consolidate tools and records that grew in silos. Enterprises use it for governance, master data and compliance across many domains.
Do we need to buy new software to work with you?
Usually not. Ccube is platform-agnostic and works with platforms such as Databricks, Snowflake, Oracle, SQL Server, PostgreSQL, AWS, Azure and Google Cloud. We recommend a new tool, including an enterprise data management platform, only when an existing one blocks a business outcome.
How does data management support AI and GenAI initiatives?
AI models and agents need data that is accurate, current and correctly permissioned. Data management provides that through quality controls, lineage, access policies and curated knowledge sources for retrieval-augmented generation (RAG). Without it, AI answers are hard to trust or audit.
What should we look for in a data management partner?
Whether you compare data management consulting companies or delivery partners, look for proven work in your industry, a dated first milestone, willingness to use your current stack, a clear handover plan, the ability to build analytics and AI on the data, and named senior leads. The buyer's guide above lets you compare firms side by side.
LuminAI: Enterprise AI Agents That Automate Operations
Powered by our LuminAI Lab, our AI agents plug into the tools, databases, and policy frameworks you already run. They automate multi-step workflows in under 90 days instead of adding another dashboard nobody opens.
Pre-Built LuminAI Agents
IntelliConnect, Enterprise Search & Knowledge Agent
Unifies enterprise search across Drive, Salesforce, ServiceNow, and internal databases using hybrid RAG, cutting information search time by 30–40% with policy-aware, cited answers.
Guardiance, AI Governance & Compliance Agent
Scans emails, chats, and documents for HIPAA, FINRA, and GDPR risks, enabling real-time PII/PHI redaction and up to 90% fewer compliance breaches.
InboxEyeQ, 24/7 Email Workflow Agent
Categorizes and acts on high-volume emails using custom SLA rules, improving SLA compliance by 35% and turning unstructured emails into trackable tasks.
SentrAI, AI Governance & Control Plane Agent
Real-time visibility and control for production AI agents, monitoring MCP sprawl, enforcing access, and detecting model drift before compliance risks emerge.
Ready to Modernize Your Enterprise Data Lakehouse on Databricks?
Migrate legacy warehouses to Delta Lake in under 90 days with zero operational downtime.
Proven Enterprise Outcomes: Real Results, Real ROI
From AI agents to data platforms and applications - explore how we turn complex enterprise challenges into production-ready solutions.
BFSI
Dual track CRM & Data Warehouse Modernization
Modernized legacy CRM and data warehouse systems into a unified, cloud-native platform that improved advisor productivity, data reliability, and AI readiness.
Aviation Technology
Modernizing Private Aviation with Real-Time Booking & Payments
Ccube helped a fast-growing private aviation marketplace modernize booking, payments, and operations—enabling real-time charter quoting, faster transactions, and a scalable cloud-native platform.
Fintech
Reimagining Diamond Trading with Blockchain and Tokenization
A next-generation marketplace enabled certified asset tokenization, real-time negotiations, and compliant ownership transfer for a more transparent trading experience.
Why Enterprises Trust Ccube for Data, AI & App Development
One delivery model for data engineering, AI and GenAI solutions, and application development, built to deliver measurable business outcomes.
Silicon Valley Expertise:
100+ years of combined Silicon Valley experience with scalable delivery from India.
Outcome-First Delivery:
Every workstream is tied to your KPIs, operating context, and decision cycles.
Live in 90 Days:
Clear 30-60-90 day milestones that take AI and data initiatives from roadmap to production.
Compliance Built In:
Governance and security for regulated industries including BFSI, healthcare, and aviation.
Tech Capabilities Powering Digital Transformation
A modern, flexible stack designed to support evolving business and technical requirements.
Talk to Our Data Management Team
Tell us where your data is today and what you need it to do. In a short call, a Ccube data management consultant will outline your first 90 days: what to fix first, what it takes and what you should see by the end of the quarter.
A senior consultant from the data practice led by Nitin Mogra, VP of Data
A first view of your 30-60-90 day plan
Headquartered in Cupertino, California
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