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Rethinking Your Data Strategy: Bridging the Gap Between IT and Business

Enterprises are increasingly adopting advanced technologies like Gen AI to address business challenges, but the core issue lies in bridging the gap between technical solutions and actual business outcomes rather than the technology itself. JaveedNizami, chief technology officer at Syniti, shares an article on The Fast Mode that emphasizes the importance of aligning data strategies with overall business objectives to drive growth and innovation. It highlights the historical disconnect between IT and business units, often resulting in missed opportunities. To bridge this gap, organizations should foster closer collaboration and shared understanding of data needs. Developing a unified data governance framework ensures data quality, security, and compliance across departments. Leveraging advanced analytics and AI can provide actionable insights that support strategic decision-making. Nizami advocates for a data-driven culture where leadership champions data initiatives and promotes data literacy among employees. Organizations invest in modern data infrastructure, such as cloud platforms, to enable scalability and agility. Regular communication between IT and business teams helps identify priorities and align efforts effectively. Implementing agile methodologies in data projects can accelerate value delivery. Data democratization empowers non-technical staff to access and utilize data, enhancing overall organizational agility. The article stresses the need for clear data governance policies to manage data privacy and ethical considerations. Building a robust data architecture supports integration of diverse data sources for comprehensive analysis. Continuous training and upskilling are essential to keep pace with evolving data technologies. Leadership’s active involvement ensures data initiatives align with strategic goals. Establishing KPIs related to data initiatives helps measure progress and impact. Embracing a proactive approach to data management can unlock new revenue streams and competitive advantages. Nizami concludes that a well-integrated data strategy transforms data from a support function into a strategic asset, fostering innovation and growth.

 

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Lase_server indicates a message is too large

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The message “lase_server logging issue – Invalid message is received and size” indicates that an error message that is too large has been sent from the security server.

Example full message text

default.SEVERE server.SecurityEventHandler.run(): SecurityEventHandler #816 got exception. com.lawson.security.server.LawsonNetException: Got exception while reading from connection Socket[addr=/127.0.0.1,port=64706,localport=450000].

Stack Trace : com.lawson.security.server.LawsonNetException: Got exception while reading from connection Socket[addr=/127.0.0.1,port=6406,localport=50000].

at com.lawson.security.server.AbstractDefaultEventSource.read(AbstractDefaultEventSource.java:339)

at com.lawson.lawsec.server.SecurityEventHandler.run(SecurityEventHandler.java:151)

Caused by: java.io.IOException: Invalid message is received and size:300095616

at com.lawson.security.server.AbstractDefaultEventSource.readMsg(AbstractDefaultEventSource.java:351)

at com.lawson.security.server.AbstractDefaultEventSource.read(AbstractDefaultEventSource.java:352)

 

Resolution

The parameter server.readMsgMaxSize must be added to lsservice.properties.

The MsgMaxSize parameter ensures that a logging message that occurs when a vulnerability scan is run does not become so large that it causes the system to hang. The parameter catches very large messages and replaces them with shorter sample messages.

Perform these steps to add the parameter.

  1. Stop the Infor environment and the application server.
  2. Open the lsservice.properties file for editing.
    On Landmark, the location is: LASYSDIR/lsservice.properties
    On LSF, the location is: LAWDIR/system/lsservice.properties
  3. Add the parameter server.readMsgMaxSize=[size number in Bytes] to the end of the file. The default size is 20MB. Infor recommends not setting the size larger than 40MB.
    Example: server.readMsgMaxSize=20
  4. Restart the Infor environment and the application server.

 

How Cloud ERP And AI Are Powering The Future Of Sustainability

Cloud ERP (enterprise resource planning) and AI (artificial intelligence) technologies are helping businesses tackle key sustainability challenges like carbon emissions, deforestation, and waste through real-time data, automation, and supply chain transparency. In a Forbes article written by Namita Gupta-Hehl, strategic marketing and communication leader at SAP, she explores how businesses are using cloud-based ERP systems and AI to meet rising sustainability demands. It emphasizes that sustainability is now a core business priority, with 85% of executives increasing related investments and 70% expecting climate risks to influence their strategies soon. Technologies like SAP’s Green Ledger and Green Token are helping companies reduce carbon emissions, prevent deforestation, and embrace circular economies. Carbon tracking, particularly for complex scope 3 emissions, is a major challenge, but cloud ERP platforms offer real-time data integration and visibility, transforming compliance efforts into strategic insights. The article also highlights the role of circular economy initiatives, where companies like Hilti Group use tools like Circelligence to assess and improve resource circularity. AI enhances this by automating ESG reporting and helping track sustainability progress. Overall, cloud ERP and AI are presented as essential technologies turning environmental challenges into opportunities, allowing companies to thrive while contributing to a sustainable future.

 

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Navigating ERP and Digital Modernization

With the acceleration of digital transformation, organizations face complex enterprise resource planning (ERP) modernization challenges, especially with cloud adoption and integration. Many struggle with aligning legacy systems, cloud readiness, and strategic goals amid increasing solution complexity. Cloud leader and expert Robert Holland shares an article on ERP Today that emphasizes the importance of a strategic, phased approach to ERP modernization. He advocates for starting with cloud readiness before upgrading ERP systems to ensure a smoother transition. ERP vendors are building broader platform ecosystems, emphasizing the importance of skilled technical teams for management and administration tasks. Partnerships play a vital role in navigating migration, compliance, and integration, providing necessary expertise. The evolving skill set for IT professionals now includes cloud management, enterprise architecture, and functional insights to improve customer experience. Delaying modernization increases risks, so organizations are encouraged to act purposefully, focusing on business outcomes rather than technology for its own sake. Success hinges on clear strategy, stakeholder engagement, and trusted partners guiding phased, value-driven transformation. Ultimately, Holland states that ERP modernization is an ongoing journey requiring agility, strategic planning, and a focus on data and talent to sustain competitive advantage.

 

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Lawson Security Administrator Stuck on Authenticating after two-factor sign-in

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Note that the below information is reproducible on a cloud client via jumpbox or local PC connected to VPN.

 

If your Lawson Security Administrator is stuck on authenticating after two-factor sign-in, follow these steps to reproduce and get a solution (this is to make sure you’re experiencing the same issue):

Run LSA as Admin and login.

Ping ID or Two-factor equivalent Authenticates

Script Error will pop up. Clicking yes, no or closing the window leads to the same result:

Doesn’t connect after, stuck on Authenticating.

This occurred on LSA Version 10.0.3.01065 in a Infor Cloud Environment.

 

Resolution:

Installing LSA Version 10.0.3.01069 Resolves issue and LSA is able to authenticate after the two-factor.

 

Enterprise Resource Planning For Mid-Market Enterprises

Mid-market enterprises, though challenged to compete with larger firms while managing growth and efficiency, are now empowered by improved technological tools that help them overcome previously daunting obstacles. Shiv Kaushik, Chairman & CEO of ICCG, a global business provider of Infor CloudSuite ERP M3 & Acumatica Cloud ERP, shares an article on Forbes that highlights how ERP (Enterprise Resource Planning) systems have become essential tools for mid-market enterprises aiming to grow and compete with larger organizations. These companies often face resource constraints, but modern ERP systems—especially cloud-based solutions—have become more affordable, scalable, and easier to implement, closing the technology gap. Historically, large companies had access to complex ERP platforms that integrated various business functions, while mid-market firms relied on disconnected software systems, causing inefficiencies and data silos. Now, cloud-based ERP models allow mid-sized firms to avoid costly infrastructure investments and pay only for what they use. Kaushik emphasizes that selecting an ERP system should start with clearly defined business goals and input from all departments. An effective ERP must be customizable, integrate with current tools, and fit industry-specific workflows. However, ERP alone may not meet all needs—tools like BI, CRM, and automation platforms are recommended to complement core ERP functions. Different industries have unique ERP priorities: real-time inventory tracking in distribution, production scheduling in manufacturing, product lifecycle management in fashion, and compliance and shelf-life monitoring in food and beverage. Common ERP implementation pitfalls include poor change management, dirty data, and lack of IT readiness. Success depends on stakeholder involvement, user training, and maintaining clean, accurate data. Finally, ERP adoption is framed as central to digital transformation. When implemented thoughtfully, ERP can give mid-market enterprises a competitive edge by improving agility, communication, and operational efficiency, helping them innovate and scale more effectively.

 

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Adding Context Apps in Infor OS Portal

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Follow the steps below to add a new context app in Infor OS Portal.  In this example, we will enable the app for Infor Lawson S3.

Log into Infor Portal and Click on User Settings > Admin Settings

Go to the Manage Context / Utility Apps tab and select “ADD CONTEXT/UTILITY APP”

Enter a Type, Name, Description, and URL.  Click Save.

 

Now, add the application(s) that will be using this context app.  At the bottom of the screen, select the Applications tab and select “Add/Remove Applications”.

Select the application(s) and click Done

Be sure to Enable to application and then click “Save”

Your context app now shows up in the right side menu

 

Taming the Data Monster: Why Getting Your Data Ready is Key to Gen AI Success

Generative artificial intelligence (AI) is increasingly vital for businesses to stay competitive, yet many organizations face difficulties with data readiness, encountering issues related to accountability, transparency, and trust in their data. In an article on ERP Today, written by senior editor Radhika Ojha, she emphasizes that successful integration of generative AI relies heavily on well-prepared data. It highlights that many organizations struggle with data quality, consistency, and accessibility, which hinder AI performance. Effective data management involves cleaning, structuring, and consolidating diverse data sources. Organizations need to establish robust data governance frameworks to ensure data accuracy and security. The article stresses that high-quality data enables more relevant and reliable AI outputs. Companies should focus on metadata management to improve data discoverability and usability. Investing in data infrastructure, such as data warehouses and lakes, supports better AI training and deployment. The article warns that poor data quality can lead to biased, inaccurate, or untrustworthy AI results. It advocates for cross-department collaboration to break down data silos. Regular data audits and cleansing are essential for maintaining data health. The article suggests that organizations should adopt automation tools for data preparation tasks. It underscores that training AI models on relevant, high-quality data accelerates value realization. Ultimately, preparing data thoroughly is key to unlocking the full potential of generative AI in business.

 

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