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7 Salesforce Implementation Mistakes That Kill ROI

Uncategorized /

What are the most common Salesforce implementation mistakes? The most expensive Salesforce implementation mistakes are starting without a written definition of success, customizing the platform before adopting standard functionality, hiring an implementation partner based on price rather than industry experience, underinvesting in data hygiene before go-live, treating Salesforce as an IT project rather than an […]

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Modernizing Transportation Technology: Rethinking Incremental Updates

Uncategorized /

The transportation industry has always been mobile by nature. Drivers operate across regions and time zones. Vendors work in the field. Fleet managers oversee assets spread across cities, states, and sometimes entire countries. Over the past decade, most transportation software providers have released mobile apps and regular updates, like bug fixes, UI improvements, and added

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What Is Agentforce? A Practical Guide for Business Leaders

Artificial Intelligence /

Agentforce is Salesforce’s AI agent platform, launched in October 2024. It lets businesses build, deploy, and manage autonomous AI agents. Agents are systems that can take action inside Salesforce and connected platforms without waiting for a human to initiate each step. Every few years, Salesforce releases something that changes how the platform is used. Flow

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How to Fix Bad CMMS Data

Data /

A CMMS is supposed to give you clarity. It should tell you which assets fail most often, where labor hours are going, how preventive maintenance is performing, and where downtime risk is building. But when data quality is poor, a Computerized Maintenance Management System (CMMS) becomes little more than a digital filing cabinet. Reports can’t

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When Your Tech Team Is At Capacity: How Strategic Advisory Can Keep Data Integration and Custom Software Moving

Consultation, Software Solutions /

For many organizations, the biggest blocker to progress isn’t lack of ideas or budget, it’s capacity. Internal technology teams often have their bandwidth capped with keeping the lights on: maintaining systems, supporting users, meeting regulatory requirements, and delivering against an already full roadmap. At the same time, leadership still needs to move forward on critical

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Data Profiling and QA: Finding Gaps and Detecting Anomalies

Business Intelligence, Data /

Most organizations don’t struggle because they lack data. They struggle because they don’t fully understand the data they already have. Before analytics, dashboards, AI, or automation can deliver value, data must be understood, trusted, and fit for purpose. This is where data profiling and quality assurance (QA) play a critical role. Together, they help organizations

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