Who builds Salesforce reporting, dashboards and data governance?
Salesforce Data, Reporting and Analytics: What The Shortlist Report Finds
4 firms lead, appearing in 23.8–28.1% of 235 AI responses. The sample cannot separate them, so we do not pretend it can.
Four firms lead
Slalom, Accenture, Deloitte and Saleon come up most often here. They are close enough together that the order between them is not worth reading anything into.
Slalom66 of 235
High-touch, U.S.-based Salesforce implementations for enterprise and upper mid-market organizations.
Accenture64 of 235
Delivers large-scale global CRM transformations with Salesforce, data, AI, and integration capabilities for Fortune 500 companies.
Deloitte59 of 235
Provides enterprise transformation and Salesforce implementation, particularly for operating-model redesign, governance, and data/compliance integration.
Saleon56 of 235
Provides Salesforce CRM analytics, Tableau implementation, and reports/dashboards for smaller engagements.
Based on 235 ChatGPT responses to this question, collected August 11, 2026–October 1, 2026. Firms are counted once per response. How we measure.
The ranking
| Firm | Responses | Share | |
|---|---|---|---|
| Tier 1 4 firms, 23.8–28.1% | |||
| Slalomslalom.comHigh-touch, U.S.-based Salesforce implementations for enterprise and upper mid-market organizations. | 66 of 235 | 28.1% | |
| Accentureaccenture.comDelivers large-scale global CRM transformations with Salesforce, data, AI, and integration capabilities for Fortune 500 companies. | 64 of 235 | 27.2% | |
| Deloittedeloitte.comProvides enterprise transformation and Salesforce implementation, particularly for operating-model redesign, governance, and data/compliance integration. | 59 of 235 | 25.1% | |
| SaleonProvides Salesforce CRM analytics, Tableau implementation, and reports/dashboards for smaller engagements. | 56 of 235 | 23.8% | |
| Tier 2 5 firms, 13.6–20.0% | |||
| PwCProvides enterprise CRM and business-process transformation with Salesforce for large enterprises, especially regulated sectors. | 47 of 235 | 20.0% | |
| Clear Concise Consultingclearconciseconsulting.comOffers fractional Salesforce admin retainers with data quality, automation, and governance work. | 41 of 235 | 17.4% | |
| The Pedowitz GroupImplements HubSpot and Salesforce for mid-market B2B organizations, focusing on RevOps and CRM architecture. | 33 of 235 | 14.0% | |
| Cloudingocloudingo.comSpecializes in data quality, cleansing, deduplication, and record migration between Dynamics and Salesforce. | 32 of 235 | 13.6% | |
| IBMHandles complex Salesforce integrations alongside complicated enterprise technology environments for large enterprises. | 32 of 235 | 13.6% | |
| Tier 3 stands alone | |||
| Decision Foundrydecisionfoundry.comImplements Salesforce Service Cloud and Experience Cloud portals with case management and self-service capabilities. | 31 of 235 | 13.2% | |
Key findings
- Slalom, Accenture, Deloitte and Saleon lead this sample, each named in 23.8–28.1% of 235 ChatGPT responses to the question “Who builds Salesforce reporting, dashboards and data governance?”, collected August 11, 2026–October 1, 2026.
- The gaps between Slalom, Accenture, Deloitte and Saleon are inside the margin of error at 235 responses, so The Shortlist Report groups them in one tier rather than ranking them against each other.
- 10 firms cleared the reporting threshold on “Who builds Salesforce reporting, dashboards and data governance?” in ChatGPT as of October 1, 2026; the full table with response counts is below.
- Accenture appears in 11 of the 12 Salesforce and CRM implementation partners reports published by The Shortlist Report, the widest coverage of any firm named on this page.
- No firm paid to appear in this ranking; placement cannot be bought, and the counts come from ChatGPT responses rather than from submissions.
Why the tiers fall where they do
Tier 1 holds Slalom, Accenture, Deloitte and Saleon, named in 56 to 66 of the 235 ChatGPT responses. They are grouped rather than ranked because the gaps between them are inside the margin of error at this sample size — one extra mention would reorder them, so an order would be reporting noise as a finding.
Tier 2 holds PwC, Clear Concise Consulting, The Pedowitz Group, Cloudingo and IBM, named in 32 to 47 of 235 responses (13.6–20.0%). The sample does separate these firms from the tier above: the difference from the leading group is larger than the margin of error, which is what puts them in a tier of their own.
Tier 3 holds Decision Foundry, named in 31 to 31 of 235 responses (13.2–13.2%). The sample does separate this firm from the tier above: the difference from the leading group is larger than the margin of error, which is what puts it in a tier of its own.
The test is McNemar’s at 95%, applied against the same 235 responses for every firm. The full reasoning, and what happened when we ranked one-to-N instead.
What the sample shows
4 firms lead this question: Slalom, Accenture, Deloitte and Saleon. They appear in 23.8–28.1% of the 235 responses. The gaps between them are inside the margin of error at this sample size, so they are listed together rather than ranked against each other.
162 firms were named at least once across the sample. 10 of them cleared the threshold of 2 responses and appear above; the rest were named once and are inside the noise.
How to read this
Firms are grouped into tiers, not ranked one to fifteen. A tier holds every firm whose 95% confidence interval overlaps the leader's, which is a long way of saying the sample cannot tell them apart. Order within a tier is arbitrary — read the counts, not the position.
Share is the percentage of responses that named the firm — not a quality score. A firm scoring low here may be excellent and simply under-written about online, which is a finding about its visibility rather than its work.
The same question was asked repeatedly because AI assistants do not answer identically twice. A single response would tell you almost nothing.
What this measurement does not tell you
- It is not a quality ranking. Share reflects how much has been written about a firm online, which is what an AI assistant reads. A capable firm nobody writes about scores low here.
- It is a reading from a date range, not a permanent standing. This sample was collected August 11, 2026–October 1, 2026; models change and so do their answers.
- It covers ChatGPT only. Other assistants answer differently, and we do not extrapolate across engines we have not measured.
- Order within a tier is arbitrary. Read the counts, not the position. Why we use tiers.
Cite this report
The Shortlist Report. (2026). Salesforce Data, Reporting and Analytics: What The Shortlist Report Finds. The Shortlist Report. https://www.shortlistreport.com/article/salesforce-data-and-analytics
Underlying counts: CSV · JSON. Every answer they were counted from: plain text · JSON. All reusable under CC BY 4.0 with attribution.