What is tech stack consulting?
Tech stack consulting is the strategic work of evaluating, rationalising, and right-sizing your marketing and data technology stack — answering questions like "should we consolidate?", "which tools overlap?", "where are we paying for unused licences?", "what's missing?", and "how do we sequence the changes?" Decision Foundry runs this as a structured engagement, not a single advisory deliverable.
What does Decision Foundry's tech stack consulting cover?
A 4-phase engagement. (1) Stack audit — every tool you have, who uses it, what it costs, what it actually delivers. (2) Capability map — what business outcomes your stack enables vs the gap. (3) Rationalisation roadmap — what to keep, consolidate, replace, retire. (4) Sequencing plan — phased changes that don't disrupt the business. We also support the implementation if needed.
How is this different from a Gartner or Forrester recommendation?
Analyst recommendations evaluate vendors in the abstract. We evaluate vendors against YOUR data shape, YOUR team's skills, YOUR existing investments, and YOUR specific business outcomes. The answer to "best marketing analytics platform" depends heavily on these factors — analyst reports can't capture them. Plus we'll execute the changes; analysts won't.
How long does tech stack consulting take, and what does it cost?
A focused stack assessment (mid-market, single business unit) typically runs 4–6 weeks. Enterprise stack rationalisation (multi-business-unit, global, 50+ tools) runs 3–5 months including stakeholder alignment. Cost scales with stack size and decision-maker count. The savings from consolidation typically pay back the consulting cost within 6–12 months.
We're committed to Salesforce, Adobe, or Microsoft — does that matter?
Yes, hugely. Vendor commitments shape the rational stack design. We don't recommend ripping out major investments — we design around them. That said, "commitment" doesn't mean "use every Salesforce / Adobe / Microsoft product available." Plenty of stacks waste licences on overlapping products from the same vendor.
Why Decision Foundry for tech stack consulting?
We've implemented across the major marketing and data platforms — Salesforce, Adobe, Microsoft (Power BI / Fabric), Snowflake, Databricks, Tableau, MCI. Means our stack recommendations are grounded in delivery experience, not vendor sales decks. Plus we execute the changes — we're not advisors only.