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Kerry Millar

Kerry Millar

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Kerry Millar is a Business Consultant at Achieva.ai, specializing in helping organizations leverage AI and technology to drive business transformation. With a focus on strategic planning and process optimization, she works closely with clients to unlock growth opportunities and improve operational efficiency. Kerry is dedicated to delivering innovative, data-driven solutions that position businesses for long-term success.
21 Følge
26 Tilhængere
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https://achieva.ai/
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Kerry Millar
Kerry Millar
5 i ·Oversætte

AWS + Salesforce Integration: Connectivity Isn’t Enough. Data Quality Matters.

Connecting AWS with Salesforce can unlock powerful analytics, automation, and AI-driven insights—but only when the underlying data is accurate, consistent, and properly reconciled.

Discover why data quality, governance, reconciliation, and security are critical to making an AWS-to-Salesforce integration truly valuable.

Read the full article: https://froodl.com/why-an-aws-....to-salesforce-integr

#aws #salesforce #salesforceintegration #awsintegration #dataquality #datagovernance #ai #cloudintegration

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froodl.com

Why an AWS-to-Salesforce Integration Depends on Data Quality, Not Just Connectivity · Kerry Millar

Most teams scope the connection between Amazon Web Services (AWS) and Salesforce as an engineering ticket. Stand up an application programming interface (API), map a few fields, schedule a sync, and c
Kerry Millar
Kerry Millar
6 i ·Oversætte

Why an AWS-to-Salesforce Integration Depends on Data Quality, Not Just Connectivity

An AWS-to-Salesforce integration can be technically connected but still fail to deliver reliable business value. The real challenge is data quality, from duplicate records and mismatched identifiers to inconsistent field definitions and validation.

Discover why successful integration starts with clean, reconciled data and the right architecture.

Read the full blog : https://froodl.com/why-an-aws-....to-salesforce-integr

#aws #salesforce #awsintegration #salesforceintegration #dataquality #ai #dataintegration

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Why an AWS-to-Salesforce Integration Depends on Data Quality, Not Just Connectivity · Kerry Millar

Most teams scope the connection between Amazon Web Services (AWS) and Salesforce as an engineering ticket. Stand up an application programming interface (API), map a few fields, schedule a sync, and c
Kerry Millar
Kerry Millar
6 i ·Oversætte

Before You Build an Agent: What Decides Salesforce AI Success

AI agents can only be as reliable as the data, permissions, grounding, and governance behind them. From data readiness and least-privilege access to curated knowledge sources and continuous testing, the groundwork determines whether your Salesforce AI delivers real business value or simply produces confident mistakes.

Discover what drives successful Salesforce AI implementation and why the right foundation matters more than clever prompts.

👉 Read the full article: https://programminginsider.com..../before-you-build-an

#salesforceai #agentforce #salesforce #aiimplementation #generativeai #datagovernance #enterpriseai #aitransformation

Before You Build an Agent: What Actually, Decides Salesforce AI Success - Programming Insider
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Before You Build an Agent: What Actually, Decides Salesforce AI Success - Programming Insider

An agent that answers a customer with total confidence and complete inaccuracy does more damage than one that stays silent. That failure rarely traces back to the model. It traces back to decisions made weeks earlier. When the data was still messy, t
Kerry Millar
Kerry Millar
6 i ·Oversætte

Why Your Power BI- Salesforce Integration Ends in Dueling Dashboards

Connecting Salesforce with Power BI is relatively easy. Getting Sales, Finance, and Operations to agree on what the numbers actually mean? That’s where the real challenge begins.

One team sees $4.2M in the pipeline. Another sees $3.6M, even though both are using the same Salesforce data. The problem isn’t necessarily integration. It’s data definitions, governance, data modeling, and refresh timing.

In our latest blog, we explore how to eliminate the “dueling dashboards” problem by focusing on:

✅ Shared definitions for pipeline, bookings, & ARR
✅ Governed semantic models
✅ Certified Power BI datasets
✅ Better Salesforce data modeling
✅ Clear refresh & “data as of” policies
✅ A single source of truth for decision-making

💡 The connector moves the data. Governance makes the data trustworthy.

If your dashboards keep telling different stories, it may be time to look beyond the integration itself.

👉 Read the full article: https://kerrymillar.substack.c....om/p/why-your-power-

#salesforce #powerbi #salesforceintegration #powerbiintegration #datagovernance #businessintelligence #dataanalytics #salesforcedata #digitaltransformation

Why Your Power BI- Salesforce Integration Ends in Dueling Dashboards
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Why Your Power BI- Salesforce Integration Ends in Dueling Dashboards

Power BI and Salesforce Integration: Agreeing on the Numbers
Kerry Millar
Kerry Millar
6 i ·Oversætte

Marketo-Salesforce Integration: Why Governance, Not the Connector, Decides Success

A successful Salesforce–Marketo integration is about much more than connecting two platforms. Without clear governance, defined data ownership, standardized processes, and ongoing monitoring, even the best connector can create inconsistent data and reporting challenges.

Discover why governance is the real driver of long-term integration success and learn the best practices that help sales and marketing teams stay aligned, improve lead management, and maximize ROI.

Read the full article: https://beforeitsnews.com/busi....ness/2026/07/marketo

#salesforce #adobemarketo #marketo #salesforceintegration #marketingautomation #crm #leadmanagement #revops #datagovernance #martech #digitaltransformation

Marketo-Salesforce Integration: Why Governance, Not the Connector, Decides Success  | Business | Before It's News
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beforeitsnews.com

Marketo-Salesforce Integration: Why Governance, Not the Connector, Decides Success | Business | Before It's News

Most Marketo and Salesforce integration failures trace back to data governance, not the connector. See how field ownership and SLAs keep leads alive.
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