Techila/Services/Salesforce Data Cloud

Salesforce
Data Cloud

Bring all customer data together, from every source, and leverage real-time insights to build hyper-personalized customer journeys.

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Techila Global Services is a Salesforce Summit Partner delivering senior-led Data Cloud programmes across identity resolution, real-time data unification, calculated insights, and cross-cloud activation. A senior pod ingests CRM, marketing, web, mobile, and third-party data, harmonises it onto Salesforce's Customer Data Model, builds identity graphs, and activates segments into Marketing Cloud, Sales Cloud, Service Cloud, and Agentforce. Programmes typically build in 10–18 weeks with zero-copy support for Snowflake, BigQuery, and Databricks for retail, financial-services, healthcare, and manufacturing clients across North America, EMEA, and APAC.

Summit

Salesforce Partner

Zero-copy

Snowflake / BigQuery / Databricks

Real-time

Identity & activation

10–18 wks

Typical build phase

[ Built for ]

Who this engagement serves.

Chief Data / Analytics Officer

Owns the customer-data strategy. Wants identity resolution, governance, and a single profile that downstream teams can actually trust.

VP Marketing / CRM

Wants real-time segments and audiences activated into Marketing Cloud, ad platforms, and lifecycle journeys without engineering tickets.

Solution Architect / Data Engineer

Owns the warehouse and integration layer. Wants zero-copy access to Snowflake/BigQuery and a clean harmonisation model.

Head of AI / Data Science

Desired the Data Cloud to be the underlying layer for Agentforce, Einstein, and predictive models, where consent and lineage is captured intrinsically.

[ At a glance ]

Product: Salesforce Data Cloud (formerly CDP / Genie)
Provider: Techila Global Services · Salesforce Summit Partner
Typical outcome: Real-time identity & activation, zero-copy warehouse, 10–18 week build
Built for: CDO · VP Marketing · Solution Architect · Head of AI
Pairs with: Marketing Cloud · Sales Cloud · Service Cloud · Agentforce
Sectors: Financial Services · Retail · Healthcare · Manufacturing · Hospitality

[ The practice ]

Salesforce Data Cloud

With Techila's Data Cloud, we link your CRM, marketing, e-commerce, and third-party data into a singular customer profile enabling real-time personalization at scale.

The data pipelines, identity graphs, and activation layers that make siloed data into a strategic asset that powers personalization, retention and revenue.

[ Capabilities ]

8 capabilities, one delivery team.

These 8 Data Cloud capabilities span the entire data motion: from ingress and unification to identity resolution, calculated intelligence, and real time activation. All 8 ships as a configurable managed asset, documented to integrate to Snowflake, BigQuery, the Salesforce stack, and Agentforce, so the first segment activation happens within build, not post-launch.

/01

Data ingestion & connectors

Streaming and batch ingestion from CRM, marketing, web/mobile SDK, e-commerce, ad platforms, and warehouses via 200+ connectors.

/02

Customer Data Model & harmonisation

Transformingsource objectstoSalesforce's standard objects -Individual,Contact Point,Engagement, Order, Case - and reusable transformations.

/03

Identity resolution

Deterministic and probabilistic match rules, ruleset tuning, and a unified profile that resolves anonymous and known interactions.

/04

Calculated insights & metrics

LTV, Propensity, RFM-calculated in Data Cloud, then pushed to CRM and journeys.

/05

Real-time segmentation

Streaming segments, audience builders, time-decayed conditions-published to Marketing Cloud, Sales Cloud and ad activation.

/06

Zero-copy data sharing

Snowflake, BigQuery, & Databricks zero-copy integration- Query warehouse data in Data Cloud with no copying.

/07

Activation & cross-cloud

Activation targets across Marketing Cloud, Service Cloud, Commerce Cloud, ad networks, and Agentforce grounding with documented lineage.

/08

Privacy, consent & governance

Consent capture, suppression, data-retention policies, attribute masking, and audit-ready data lineage for GDPR, CCPA, and FCA workloads.

[ Delivery process ]

Four phases. Value gates at every boundary.

All Data Cloud programs proceed through 4 senior owned phases (Data model, Identity resolution, Segmentation & Activation). Phase transitions are controlled via approved artefacts (data architecture, unified-profile sign-off, segment library sign-off & activation lineage). Thus, the program will only proceed beyond phase 2 if there is proof of the unified-profile. The average end-to-end duration is between 10-18 weeks.

Phase 01

Data model & sources

2–3 weeks

Source inventory, identity-graph design, customer-data-model mapping, and consent posture. Outputs a board-ready data architecture and activation use-case shortlist.

Phase 02

Identity resolution

3–4 weeks

Match rules, deterministic and probabilistic resolution, unified profile validation against business questions, and zero-copy warehouse linkage.

Phase 03

Segmentation

2–3 weeks

Audience-builder rollout, smart calculated insights, live segments, cross-cloud segments published - while marketing and crm teams fly-in.

Phase 04

Activation

3–4 weeks

Execution to marketing cloud, sales cloud, service cloud, commerce cloud, ad networks, Agentforce, with measurement loops & quarterly value assessment.

“We used Techila to reconcile all our customer identities across web, app and CRM into a single profile within weeks not months, but months; and to connect the segments directly into Marketing Cloud and Agentforce. The data team can now rely on an actual real-time profile.”

— Chief Data Officer · Financial-services group

[ Proof ]