When business records live across disconnected ERP, CRM and billing platforms, reports conflict and routine operations slow down. GrandView connects your data in place using IBM Cloud Pak for Data (CP4D)—feeding clean facts into integration and business automation workflows, without moving databases or rebuilding systems.
Fixing data disconnects should not require replacing the systems your business runs on. Working with IBM and Red Hat, we help organizations connect what they already have, verify numbers at the source, and give both leaders and automated workflows data they can rely on.
Powered by IBM Cloud Pak for Data (CP4D), Watson Query accesses information across sales, finance, and operations in place—eliminating forced database migrations and fragile nightly batch jobs.
IBM Knowledge Catalog automatically profiles incoming records, catches duplicates, and tracks data origin so leaders never have to question whose report is right.
Supply verified data directly into financial planning models, executive dashboards, and daily workflows. When systems share clean records, Cloud Pak for Integration (CP4I) and Business Automation (CP4BA) execute straight through without manual exception queues.
The result is not another IT platform to maintain. It is an end to reconciliation marathons, broken hand-offs, and data arguments across your leadership team.
Discuss your data priorities →Conflicting customer counts, delayed month-end reports, or analysts buried in copy-paste routines all point to the same cause: data is trapped in separate systems. Start with the situation your business recognizes.
Sales reports one revenue figure, finance reports another, and billing shows a third. Leadership spends valuable meeting time arguing over whose report is correct instead of making strategic decisions.
Establish a single, shared definition of truth that pulls directly from verified source records, so everyone starts from the same agreed facts.
Customer orders, claims, or onboarding cases fall out of automated workflows because account IDs or inventory codes do not match between ERP and CRM. Teams spend their day clearing exception queues by hand.
Clean and synchronize operational data in place, allowing business automation workflows to run straight through from intake to fulfillment without manual pauses.
Highly paid finance and operations analysts spend days manually downloading CSVs, fixing broken formulas, and gluing spreadsheets together just to produce routine weekly updates.
Automate data collection and hygiene across your tools, freeing your teams to analyze business performance instead of moving files.
You are told the only way to get reliable data is to migrate every database into a new central platform—a multi-year project with significant cost and operational risk.
Connect and query your data directly where it already lives across existing systems, delivering trusted answers in weeks without touching underlying databases.
A controlled, step-by-step transition
See where data lives today Connect systems without moving them Fix data errors across workflows
Because disconnected data, broken workflows, and manual workarounds reinforce each other, GrandView assesses your systems and business processes together before recommending a path forward.
| Layer | What you experience | Why it happens | How it changes with GrandView |
|---|---|---|---|
| 01 Process & people | Conflicting executive reports, automated workflows dropping cases, staff working late clearing exception queues. | Departmental silos, no agreed business definitions, automated steps breaking on unverified inputs. | Shared business definitions, automated straight-through processing, and zero manual file handoffs. |
| 02 Data quality & logic | Duplicate customer accounts, mismatched product codes, numbers that don't tie out between screens. | Inconsistent formatting across systems, manual spreadsheet adjustments, untracked field updates. | Automated data validation, verified master records, and end-to-end audit trails. |
| 03 Systems & connectivity | Failed overnight batch syncs, slow reports, demands for costly multi-year migrations. | Custom point-to-point scripts, data trapped in separate databases, duplicate storage sprawl. | Direct in-place connectivity, unified query access, and zero unnecessary data copying. |
Real data modernization does not force you to replace functioning software. It connects the systems you already use, strips out manual copy-paste routines, and ensures every department—and every automated workflow—operates on verified, identical facts.
Lead meetings with verified numbers everyone trusts
Leadership reviews spend the first twenty minutes debating why sales, billing, and finance show different revenue and customer counts.
Executive dashboards pull directly from verified source records with agreed definitions, focusing leadership time on strategy rather than data disputes.
Achieve straight-through processing across daily operations
Automated workflows break whenever an incoming order or invoice hits mismatched records in legacy systems, dropping cases into manual exception queues.
Automated business workflows query clean, virtualized data directly at the source, processing standard cases instantly without manual intervention.
See the complete customer relationship in one clean view
Customer records are fragmented across CRM, billing, and support systems. Account teams contact clients with outdated contract terms or inaccurate balances.
Customer information connects across CRM, billing, and support into one reliable profile, preventing duplicate outreach and protecting client relationships.
Close the books days faster without spreadsheet gymnastics
Analysts spend the final week of every month manually downloading CSVs, reconciling formulas, and copying data between billing and general ledger files.
Clean data flows automatically into reporting tools with built-in validation, eliminating manual spreadsheet stitching and cutting days off month-end close.
The assessment identifies which systems to connect first. Implementation follows an agreed sequence without interrupting daily operations.
Explore the assessment ↓A three-stage data fabric that queries records where they live, resolves duplicate information automatically, and delivers trusted facts to leadership and automated workflows.
Connect your existing ERP, CRM, and accounting systems into one virtual layer with IBM Cloud Pak for Data. Planners and analysts query live data where it already lives, avoiding costly data duplication and fragile nightly batch jobs.
Zero forced data migration or disruption to live transactional systems.
IBM Knowledge Catalog profiles incoming records automatically, catching duplicate customer accounts, fixing formatting errors, and standardizing key metrics across all departments.
Eliminates conflicting numbers across department reports and keeps business workflows running.
Every dashboard, financial model in Planning Analytics (TM1), and automated workflow pulls from certified data with a complete record of origin. Sensitive fields are protected automatically without slowing down everyday business use.
Verified facts delivered with complete lineage for leadership, planning, and AI.
You receive a documented view of your existing data landscape, an objective assessment of data quality issues affecting reports and workflows, and a phased roadmap—connecting business priorities with execution.
ENTERPRISE DATA ADVISORY
A visual inventory of your core systems, databases, and spreadsheets. We identify where data gets copied manually, where definitions conflict, and where data errors cause automated workflows to drop cases into manual exception queues.
ENTERPRISE DATA ADVISORY
An objective scorecard analyzing your critical business data. We highlight duplicate accounts, conflicting metrics, and workflow failure points, with clear recommendations ranked by operational impact.
ENTERPRISE DATA ADVISORY
A pragmatic implementation plan that delivers value in weeks, not years. We prioritize high-impact business queries and workflow delays first, establishing automated data connections without interrupting day-to-day operations.
From assessment to trusted dataWork with GrandView to turn the agreed roadmap into a lean, fast, and connected data fabric.
Plan your next stepWhether connecting your first two systems or establishing company-wide data governance, we agree on the starting point, work through priorities with your team, and validate results before rolling out to everyday users.
We interview operational and finance leaders to identify where data errors affect daily work: which reports take too long, which automated workflows drop cases, and where manual spreadsheets bridge the gap.
Together, we define common business terms (like active customer, gross margin, or billable unit) and design the virtual connections to your systems—avoiding any need to migrate or rebuild underlying databases.
GrandView connects your systems and configures automated quality rules. Your teams test the outputs against their real monthly closes, operational reports, and live workflow cases, proving data accuracy before wide rollout.
We connect verified data to your reporting and workflow automation tools, train your teams, and establish automated governance rules so data remains clean and dependable as your business grows.
Tell us where disconnected data is slowing down your leadership team, pausing automated workflows, or consuming analyst hours. GrandView brings senior data architecture and business advisory expertise to help you connect your systems without a multi-year migration.
Talk to our team
IBM Cloud Pak for Data & Enterprise Data Fabric Expertise
