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productivity management

DealCloud Implementation & Onboarding Services

We configure DealCloud to match how your firm operates, then own the build, migration and rollout end to end. You go live on a platform that reflects your process, not a generic template.

Our DealCloud implementation services cover the full path from data model to go-live: configuration mapped to your deal, fundraising and investor workflows; migration that arrives cleansed and reconciled against source; integration with the systems your teams already use; and role-based training that establishes adoption at launch rather than months later.

AT A GLANCE

Engagement

Scoped task by task in a statement of work, with a timeline and itemised quote agreed before work begins.

Best suited to

Firms implementing DealCloud, or restarting a stalled implementation.

Delivered by

One accountable DPA team, from discovery to hypercare.

What DealCloud implementation with DPA delivers

DPA’s DealCloud implementation covers four workstreams under one statement of work: platform configuration, data migration with cleansing and reconciliation, integrations, and training with go-live support. It suits private equity, private credit, real assets and advisory firms that are moving to DealCloud, including CRM migration for private equity teams leaving spreadsheets or another CRM.

Platform configured around your firm's structure and workflow

The full platform build, set up to your firm from the ground up.

Data model, objects and relationships mapped to your firm

Pipelines, stages and workflows built to your process

Page layouts, custom fields and list views

Permission and visibility structure, alerts and automation

End-to-end data migration, cleansing and reconciliation

Your existing data comes across clean and fully accounted for.

Extraction and mapping from your current system

Cleansing and standardisation before load

Duplicate removal from source data before it loads

Staged test loads, full migration and reconciliation against source

Integrations with Outlook, market data providers and third-party tools

DealCloud connects to the tools your team already uses.

DealCloud for Outlook and email sync

Market data provider feeds

Third-party tools such as data rooms, portfolio monitoring and BI platforms

API-based connections to your other systems

Structured training and hands-on go-live support

Hands-on training before launch and real support through it.

Role-based training for admins and end users

UAT support ahead of launch

Go-live support and hypercare through the first weeks

Hypercare covers DPA-delivered outputs only.

How does a DealCloud implementation run?

Five stages, delivered by one team under one statement of work.

01

Design

Data model, workflows and permissions defined

02

Configure

Layouts, fields, views, alerts and automation built

03

Migrate

Cleanse, de-duplicate, test load, reconcile to source

04

Integrate

Outlook, market data, BI and APIs connected

05

Go live

Training, UAT, cutover and hypercare

The impact of a properly executed implementation

Configured to your operating model.

The platform reflects how your firm sources, executes and reports, reducing the need for workarounds after launch.

Reliable data from day one.

Records are cleansed, de-duplicated and reconciled against source before users are granted access, so early partner-level reporting is dependable.

Migration you can evidence.

Staged test loads and reconciliation against source allow every record to be accounted for.

A single working environment.

Outlook, market data feeds, data rooms and BI platforms connect to DealCloud, removing duplicate data entry across systems.

Adoption from launch.

Role-based training and user acceptance testing are completed before go-live, with hypercare through the first weeks.

Why choose DPA for DealCloud implementation

A single accountable delivery team

Discovery, configuration, migration, integration and training sit with one team under a single statement of work, avoiding gaps between external consultants and internal administrators.

Data expertise alongside configuration

DPA has over two decades of experience in financial data operations. Migration, cleansing and reconciliation are core disciplines rather than an adjunct to a configuration project.

Built for investment firm workflows

We work with private equity, private credit, real assets and advisory firms, so pipeline stages, fundraising workflows and investor reporting are configured by people who understand their purpose.

Continuity beyond go-live

Hypercare transitions into Managed Services where required, so the team that built the platform continues to administer it.

DealCloud implementation: frequently asked questions

DealCloud implementation frequently asked questions

It depends on user numbers, the condition of your existing data and the number of systems requiring integration. We scope the work task by task in a statement of work before commencement, so a timeline and an itemised quote are agreed before work begins.

Yes. We extract and map from your existing system, cleanse and standardise before load, remove duplicates from the source data, then run staged test loads and reconcile the full migration against source.

Duplicates are removed from source data before load, so they are not carried into the new platform. Where duplicates have accumulated within a live DealCloud instance, the Bulk Deduplication & Merge Accelerator addresses them under a separate engagement.

Yes. We configure DealCloud for Outlook and email sync, market data provider feeds, and connections to data rooms, portfolio monitoring and BI platforms, together with API-based connections to your other systems.

Role-based training for administrators and end users, user acceptance testing support ahead of launch, then go-live support and hypercare through the first weeks. Hypercare covers DPA-delivered outputs. Firms requiring continued cover transition to our Managed Services retainer.

Background

Let’s Transform what’s next, together

Decimal Point Analytics highlights the transformative impact of data analytics and automation in the financial sector, showcasing case studies and insights on enhancing decision making, risk management, performance optimization.