Laden...
Laden...
Teams stack narrow apps without a shared data model—each new connector increases operating cost, access surface, and KPI inconsistency between sales, delivery, and treasury.
Typical stack: CRM from vendor A, time from B, billing from C, files from D chat from E—with CSV hops or brittle Zaps bridging gaps. Errors concentrate at brittle boundaries, not inside each product.
Beyond line-item licence fees:
User provisioning duplicated MFA regimes integration smoke tests multiplied.
Each OAuth grant and wildcard export expands exfiltration options.
Dashboards stitched without authoritative IDs contradict revenue vs. effort reality.
Modular but shared identities:
Sales without parallel list exports into billing.
Work packages without silo task exports.
Structured hours powering invoices—not secret hour sheets.
Quotes→performance→posted invoices tied end-to-end.
Trace contact→deal→hours→invoice and mark duplication layers.
Often billing+time or CRM—avoid boiling the ocean simultaneously.
Keep APIs only where they add differentiated value—not convenience duplicates.
Before/after gaps usually reveal lingering shadow spreadsheets.
Modules share backbone identities avoiding repeated IAM and schema reinvention.
Less nightly CSV archaeology—better data quality across compliance and forecasting.
One governed role model beats many admin consoles.
REST and automation remain for edge processes without rebuilding the stack around them.
Pair commercial and technical views:
No—but define a system of record; niche tools need explicit charters, not competing truths.
Valuable where differentiation is proven—density of integrations without data discipline quietly creates crippling tech debt.
Model overlap windows: staged cutovers often reclaim admin time sooner than licences suggest.
Core masters plus open delivery then historical closed invoices—balances hygiene against month-end continuity.
Yes—controlled packages with lineage beat private ad-hoc re-typing.
Institute lightweight architecture governance for new tooling with written data-ownership signatures.
Use pricing transparency to weigh licence fees against integration tax and risky shadow flows.
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