Carl Erickson

In our recent scoping calls, a recurring question has been around the upcoming retirement of the Salesforce 2 Salesforce connector. As you may know, come Spring '27, this connector will be retired, and if it’s not already enabled, it won’t be available with the current Spring '26 release. Many clients, especially those looking to transition, are seeking guidance on their next best steps. There are several potential solutions available, but today, I’d like to shine a spotlight on the Salesforce Data Cloud solution. Data Cloud offers a robust feature set that not only addresses the limitations of the retiring connector but also provides enhanced data processing capabilities, seamless integrations, and real-time insights. With Data Cloud One, you can consolidate and enrich customer data, leverage advanced analytics, and drive more personalized customer interactions – all crucial for staying competitive in today’s fast-paced tech landscape. For those evaluating alternative solutions, you might consider using Mulesoft or Partner Cloud. However, the comprehensive capabilities of Data Cloud, including its scalability and reliability, make it a standout choice for organizations looking for a future-proof solution. At EBQ, we understand that transitioning from the legacy Salesforce connector to a more forward-thinking solution can seem daunting. Our team is here to help guide you through this change, ensuring your systems continue to run smoothly while you take full advantage of the latest innovations. If you need expert assistance or have questions about the best strategy for your business, please reach out to EBQ. Let’s navigate this transition together and make sure you’re positioned for success.

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Excited to share our new article on Salesforce-related technical debt and anti-patterns, along with highlighting our new product, "Metalligence." This piece is featured on SalesforceBen and dives into the hidden costs associated with Salesforce technical debt. Check it out here: https://lnkd.in/e2VNJFzb SF Ben Summary video: https://lnkd.in/eDe3Bcxe Metalligence demo video: https://lnkd.in/eAUv8GSV

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I have been getting a lot of questions regarding the recent Salesforce article and email about "Changes to Device Activation for Single Sign-On (SSO)." Here is the breakdown of what changed and how to eliminate those extra verification steps for your users. The Change: Salesforce has tightened its security logic. Even with a successful SSO login, if the device is unrecognized and your Identity Provider (IdP) doesn't explicitly signal that strong authentication (MFA) was performed, Salesforce will now intervene. This triggers a ‘Device Activation’ prompt (email/SMS), creating another step for users who expect a seamless login. The Fix: To prevent these interruptions, Admins need to prove to Salesforce that the login is secure. You can do this by checking/updating two configurations: -- Establish Network Trust: Ensure your organization’s IP ranges are listed under Network Access in Setup (or is listed in the allowed IP ranges in users Profiles). This tells Salesforce the login is originating from a safe location, which usually bypasses secondary challenges. -- Configure High Assurance Claims: Check that your IdP is sending the specific Multi-Factor Authentication signals Salesforce recognizes (SAML ‘AuthnContext’ or OIDC ‘amr’ values). This confirms that your IdP has already handled the security check so Salesforce doesn't have to. Full Article: https://lnkd.in/e_BVFh_n

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From trepidation to acceptance, COO & CFO Ken Stillwell, Pegasystems explains how AI is being used across the board by financial professionals including everything from the sales cycle to revenue operations and even manufacturing.

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Most QA leaders already believe in the “data layer.” The challenge is proving it works under audit, scale, and integration pressure. At enterprise scale, it’s not enough to align teams around a shared truth - you must prove that truth holds everywhere. Across SAP, Tosca, Jira, ServiceNow, and CI/CD. Across hundreds of environments and thousands of tests. That proof is what transforms QA from a validator to a confidence engine. 𝐇𝐨𝐰 𝐃𝐚𝐭𝐚𝐌𝐚𝐤𝐞𝐫 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐬 𝐈𝐭: - 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐞: Synthetic test data, on demand - no production copies. - 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐞: Automatically ensure referential integrity and system consistency. - 𝐀𝐮𝐝𝐢𝐭: Lineage and evidence logged at every stage. - 𝐂𝐞𝐫𝐭𝐢𝐟𝐲: Demonstrate compliance and trust under audit. This is the “trust chain” that makes confidence measurable. QA no longer stops at validation. It proves reliability, compliance, and safety - everywhere the system is tested. Shared truth isn’t enough. It’s time to 𝘱𝘳𝘰𝘷𝘦 it.

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