Corrective Services NSW Selects Infor to Achieve Critical Workforce Utilisation Efficiencies

Infor recently announced that Corrective Services NSW (CSNSW) has chosen Infor CloudSuite Workforce Management to future-proof aspects of its scheduled staff rostering needs. With a competitive market process, Infor’s comprehensive workforce management solution and associated business process changes will provide efficient and effective staff scheduling procedures and ongoing workforce utilization efficiencies. Per the press release, the industry-leading workforce scheduling system will deliver a host of benefits to Corrective Services NSW, including providing live scheduling monitors in key locations that enhance staff safety and security, continually adapting its workforce scheduling approach to new business models, and mitigating the risk of potential compliance errors by ensuring team members are rostered and paid in compliance with their respective Public Sector Awards.

 

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Pechanga Resort Casino Drives Automation and Visibility with Infor CloudSuite

Recently Pechanga Resort Casino entered into an agreement with Infinium Software Inc., an Infor company, expanding their long-term partnership with the tech giant. Pechanga, the largest resort/casino on the West Coast, chose Infor CloudSuite solutions to further integrate core business processes into a centralized location connected to the reservation department. The integration will allow the resort/casino to make more informed business decisions from anywhere, anytime, on any device. Per the press release, Pechanga will implement Infor CloudSuite solutions created specifically for the hospitality industry to better support financials, supply management, human capital management, analytics, and workforce management. These flexible applications can provide business leaders with new insights and real-time data to make decisions quickly that may improve bottom-line results. With Infor solutions, teams at Pechanga will benefit from a simple and predictable path to upgrade from on-premise applications to the cloud.

 

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Creating an LBI Dashboard Series – Getting Started (Part 1)

LBI dashboards are useful for delegating reports to specific access and is essentially a frontend for all your user reporting needs.

For this part in the series, we will be going over the very basics and how to create a dashboard tab for Finance users and setup access so those users can access the dashboard.

  1. First login into LBI environment as an admin user.
  2. In the top right next to your admins username, you’ll see a gear wheel, click that and select “New Dashboard Tab”
  3. Enter a dashboard title and click OK, ours will be named Finance
  4. You should be redirected to a blank Dasboard, on your new dashboard, click the + sign in the top left and select “EDIT” (note you can select ‘Set Access’ but it’s simpler to go to edit)

  5. A new menu should pop-up with multiple tabs. Go to Sharing and select Edit Viewers for specific access
  6. In this screen you should see a set of users and groups (roles). In LSA, if users have specific groups assigned to their users, adding here will give them access to this dashboard. For our example we will be adding LBI-Payroll group from Lawson:
  7. All users with LBI-Payroll group will now have access to this dashboard. Press okay and Save:

This is the first step in setting up an LBI dashboard for specific users. Please note that LBI comes with a default role that all users must have which is typically called something like LBIUSER. Example below for this article:

Future of networking technology relies on 5G, edge computing

Michaela Goss at Search Networking Tech Target shares an interesting read on the disruptive technologies we can expect in 2020 and in the future of networking technology. Among the top the list as 5G, edge computing infrastructure and WAN technologies. Goss found from other tech bloggers that technologies such as 5G and edge computing will play key roles in network infrastructure transformation, while WAN technologies will continue to grow and thrive.

There is a prediction that the number of enterprise locations that solely use internet WAN connectivity could triple by 2023. In 2019, fewer than 10% of these locations had only internet WAN connectivity, according to Andrew Lerner, research vice president at Gartner. Additionally, the next big thing in the future of networking technology is edge computing, more specifically Secure Access Service Edge (SASE). SASE is a single cloud platform that combines an organization’s network and security services, and Lerner also predicted SASE will see significant growth  in the early 2020s. According to Chris Drake, principal analyst at GlobalData Technology, edge computing promises significant benefits for the future of networking technology. One tech that experts can agree on that will guide us to the next wave of innovation is 5G. 5G will set the stage for the future of networking technology and, in particular, a new type of network model, according to Tom Nolle, president of CIMI Corp. “The new network model is a shift in how operators deal with incremental enhancement and modernization for their networks. Because many 5G deployments will be new strict guidelines and a one-size-fits-all service don’t exist for 5G networks. This drives the need for a new, open network model that will be based more on open source or open hardware capabilities, which vendors will likely attempt to conquer throughout 2020,” says Noelle. Drake concludes, “in 2020, expect more alliances and more use cases that take advantage of the ability to combine edge technologies and 5G network architectures in ways that enable the development and delivery of new digital applications.”

 

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A Brief Overview into the Lawson Requisition and Approval Process

Lawson allows for requester users to submit requisition orders for their organization. To make sure the orders are valid, Lawson also supports approvers to verify and approve/reject the orders.

The core of this is done by setting up Requisition Locations (RQ01) and Requisition Strings (RQ02) and having a workflow process everything in between.

Requisition Strings can be used in many different ways, but in our example it is to have individual approvers approve for a particular location. This can also be general titles like Manager, VP, etc. or however your organization wants to set it up.

As you can see below, these are strings for Company 100, Requesting Location RQ210 with Approvers starting at Level4 and stopping at Level6. The lower limit on the left is the amount that the users approve orders for and depending on the IPA flow logic, could notify or skip them.

When users track requsitions in say RQ10 for example, they can drill around and see history log via the strings themselves:

This is only half the setup for this particular organization.

 

Approvers have to be setup on the Landmark side via Rich Client or Process Server Administrator web application. This is done via “Filters” and these have to be named accordingly to what your IPA Requisition flow will coincide with.

Below is an example of how we would mirror the RQ02 strings in Rich Client (custom report).

The Level 4, 5, and 6 are the “auth id” that our custom flow matches up on. It then grabs the user from Landmark and send notifications based on where the requisition is in the flow.

Some organizations simply don’t use RQ02 strings as they may find it easier to process everything on the Landmark side.  Landmark does have a set of its own reporting tools and filters (See my other article titled “Generating a simple approval level report from the Landmark database“ for a custom database report I created).

The benefits of RQ02 strings in my experience is that the frontend functional users could setup the strings for the developers to mirror in the back end (or by an automated process if done right).

 

Hope this was helpful in giving you a brief overview of requisitions and approvers.

How AI in ERP will create the finance team of the future

Having the right enterprise resource planning (ERP) technology has heavy influence on a finance team’s ability to focus on the strategic instead of the tactical aspects of a firm. Accounting and financial activities are critical to determine business growth. Unfortunately, as digital innovations are progressing in most departments, finance doesn’t have the first priority with new changes. With the move to the cloud, ERP systems found new ways to embed artificial intelligence (AI) for better productivity. This partnership opens the doors for better financial set up as well. Bill Wardwell shared an article on Accounting Today on how AI integrated ERP systems will benefit finance teams greatly in the coming years.

Automate manual tasks
“Machine learning-driven automation results in cost reduction, increased staff productivity and overall operational efficiency gains. Because they’re spending less time re-keying information or pushing paper around the organization, team members will have more time to spend collaborating with one another, solving problems they were previously too busy for, and further optimizing the finance function.”

Deliver richer, more actionable insights
“Machine learning makes it possible to analyze massive amounts of clean data and detect patterns and other relationships to make predictions — even from potentially disparate sources — with incredible speed and accuracy. Machine learning embedded in the ERP system can examine historical data from multiple internal finance functions and external sources such as bank accounts to help an organization more accurately predict cash flow.”

Improve the experience for end users and external business partners
Natural language processing, which powers digital assistants like Siri and Alexa, is another technology that can make ERP system interactions more human and intuitive. Natural language processing can help users more easily search and interact with massive amounts of data that may be stored across applications or other silos, with a simple voice-based search. This technology could also be applied to analyze conversations between trading partners and work in conjunction with AI to suggest the next steps after a conversation has concluded.


While we are at a rich time in technologial advancement, AI and machine learning is still in their early stages when it comes to impacting financial and business management tools, including ERP. Wardwell concludes that it is no question that there is no question these technologies will ultimately transform work for the masses the same way they have transformed our consumer lives.

 

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Generating a simple approval level report from the Landmark database

Lawson natively supports requisitions and a hierarchy requisition approval system within organizations. Some use both the approval strings found in RQ02 and setup filters within Lawson Rich Client (An application in Lawson Landmark). More info on this can be found in another one of our articles titled: “A Brief Overview into the Lawson Requisition and Approval Process”

 

To generate a database dump of all approvers and their levels using my method, you’ll need read access rights to the LSL, IPA, and GEN databases and must be using SQL.

 

    1. Login to your TEST or PROD database application.
    2. Create a new query window and paste the below SQL code in, one is a screenshot to show syntax highlights and the other is the raw code for your convenience.


      Run the query and your results should show as so:
    3. Copy and paste with headers into Excel to filter down the data or edit the query.

I’ve included an Active Status to show which locations are active or inactive. This can be changed in RQ01 per company and location.

Feel free to optimize the query to your likings if you see any inefficiencies. Remember, this is only for approval levels on the landmark side, not the RQ02 strings themselves.

Israel’s Largest Furniture Group Turns to Infor to Integrate its Supply Chain

Aminach, Israel’s largest furniture company, is embarking on an enterprise resource planning (ERP) project with Infor M3. The project is being managed by Infor partner Intentia Israel and will serve 280 users across 46 stores nationwide and the manufacturing site in Israel. The furniture company chose Infor M3 due to the depth of its functionality; that it can support both Aminach’s manufacturing and commercial operations and due to the level of integration between the different modules. Aminach’s business processes were then mapped to meet the synergy requirements between all technological systems and establishing a standard of organizational work processes and supply chain management. Infor M3 will provide Aminach with a range of capabilities required by a multi-branch distributed manufacturer and marketer. These include retail chain store management, item and product infrastructure management, supply chain management, production planning and management, costing and finance management, as well as technician service system management.

 

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Infor Introduces New Solutions for Omni-Channel Retailers and Fashion Brands

Infor’s Fashion sector introduces new solutions designed to help omni-channel retailers and fashion brands improve and optimize areas such as inventories, demand and supply planning and factory to market efficiency. Per the press release, the new, machine learning (ML)-driven solutions are generally available (GA) and include Infor Retail Allocation, Infor Omni-Channel Planning for Brands, the latest version of Infor CloudSuite PLM for Fashion, and the Infor Nexus RFID Scan & Pack solution. Infor’s general manager and head of Americas Rod Johnson states, “Infor’s ongoing investments in machine learning and advanced planning will give retailers and fashion and lifestyle brands very powerful new capabilities. First, they will have an incredibly precise view of their component and finished goods demand and, second, they will have an execution platform that supports even shorter product lifecycles. This combination will reduce waste, labor and markdowns throughout their supply chains, from zippers to finished goods.”

 

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Lawson Security – The Theory of Greatest Privilege Access Explained

When Lawson left LAUA security, it redesigned its hierarchical security as so:

  • Roles
    • Classes
      • Tokens (or rules)

These all followed the theory of the greatest privilege access since v9

 

What does this mean?

In the simplest form, it means that if there is an ALL_ACCESS and a DENY_ACCESS rule within the same class or role, the ALL_ACCESS wins and grants access to the rule.

 

Real world example:

Problem: Say you wanted to grant a user access to view an AP form but noticed that the form itself shows a vendor’s number under the TAX ID field.

 

If the vendor does not have a vendor number, typically they use their social security number and this is added to the TAX ID field which is a field on the APVENMAST table.

 

If we set DENY_ACCESS on the TAX ID field within APVENMAST as shown below:

When the user loads the AP form up again, that field will appear blank or greyed out.

 

Let’s say this user eventually takes on newer tasks and gets a new role assigned to them to submit requisition orders and this newly assigned access inadvertently grants ALL_ACCESS to the APVENMAST table.

This new access now overrides the DENY_ACCESS set on the TAX ID field and the user can now once again see the TAX ID field and reveal sensitive information such as a vendor’s social security number.

 

I hope this helps when designing your security for employees.