Reasons for System decommissioning and moving legacy data to a data lake

Before we jump into the core aspects of legacy systems and moving data from on-prem systems to cloud. Let us briefly touch on the concept of data migration. While its self-explanatory, let us put some perspective behind why companies embark on the data migration journey. So, data migration is the process of moving data from one location to another, one application to another. Generally, this is at the back of introducing a new system or location for the data. Fundamentally, focused on an application migration or consolidation in which legacy systems are replaced or augmented by new applications that will share the same dataset. These days, data migrations are often started as firms move from on-premises infrastructure and applications to cloud-based storage and applications to optimize the IT landscape, reduce cost and transform the company.

We all know data migration projects are difficult, risky, time consuming and need specific skillset. Data migration has quite a few benefits and companies are thriving towards decommissioning the old legacy environment and moving to a cutting-edge cloud platform and reduce systems operations cost, staffing cost and various other traditional ancillary cost associated with managing legacy applications. Legacy data & system decommissioning of legacy systems is becoming a significant efficiency factor when organizations work towards consolidating its ERP footprint and bringing acquired and merged entities on one common source of truth. It is also possible when transformation is on the agenda list moving to advanced digital platforms and next generation ERP systems. Decommissioning legacy systems will not come cheap, but it will be well worth it once you analyse the benefits. Conduct a full audit of every data infrastructure and interface and list the tasks that will become easier once all your obsolete data is removed.

There are eight milestones in the process –

1. Decommission planning approved,
2. Plan complete,
3. Decommission of service approved,
4. Service offline,
5. Point of no return,
6. Service end,
7. Decommission complete, and
8. Archived data removed.

The system decommissioning may be initiated by various trigger events. In some cases, the project may lose funding and is terminated, in others, a planned shutdown may be initiated. Ungoverned data may or may not physically exist in the data lake and may exist only in the data catalog as metadata pointers to external data). Based on the governance of data, the term “data reservoir” is now being used to describe the managed, transformed, filtered, secured, portable and potable data. Data migration is the process of selecting, preparing, extracting, and transforming data and permanently transferring it from one computer storage system to another. Whereas data integration involves collecting data from sources outside of an organization for analysis, migration refers to the movement of data already stored internally to. Perform migration activities performing actual migration transfer. all activities are performed in accordance with the migration plan. Certificates of migration are often created. Establish decommission plan this plan ensures decommissioning of a legacy system is executed so data and application logic are preserved.

At GAC we help global apparel manufacturing, retailers, industrial manufacturers with migration of data from older legacy and SAP systems to S4/HANA. We are happy to connect with you share our proven methodology, accelerators for data migration.

Author Name: Aparna Tarafdar


Move to SAP S/4HANA with Selective Data Transition

The new business suite is transforming to SAP S/4HANA with Selective Data Transition, which is an agitation for the companies worldwide. The systems and data can be moved efficiently and securely into the new digital world, as the existing SAP ERP system will be replaced by the end of 2025 to SAP S/4HANA on-premises or SAP S/4HANA Cloud. Therefore, companies are trying to get a grip on the challenges and possibilities of digitalization in a quick and flexible technique. There are two traditional approaches Greenfield (new implementation) and Brownfield (transformation of existing systems) on which the companies rely on until Selective Data Transition which is an alternative to the traditional Implementation approach.

What is Selective Data Transition?

The selective Data Transition approach allows you to consolidate several SAP ERP systems to one central SAP S/4HANA system. With a Selective Data Transition, you can control which data and modules flow together, as the approach involves transferring data from one or more existing ERP solutions to a new S/4HANA solution. Selective Data Transition allows you to selectively re-use parts of your existing ERP solution while re-designing other parts.

Why Selective Data Transition?

Transforming to SAP S/4HANA with Selective Data Transition would benefit from considerable advantages in terms of quality, costs, and time. Different ERP systems add inefficiencies and higher maintenance costs Therefore, consolidating various ERP systems (SAP or non-SAP systems) into one central ERP system – SAP S/4HANA – reduces overall costs while boosting transparency and efficiency. Critical and sensitive data is migrated and updated in a single go-live project.

Selective Data Transition is a form of approach that avoids the risk and downtime of a big bang while allowing you to keep your quotidian system all over the transition. To make the transition to SAP S/4HANA as smooth as possible, different system landscapes will be formed, including the possibility of a phased go-live, depending on your establishment system.

This approach allows you to decide which data you want to migrate or split. It helps you to get rid of the traditional process and unreliable data while maintaining only what meets your potential requirements and get streamlined system landscape including only the data that is applicable for your company.

Transforming to SAP S/4HANA with a Selective Data Transition gives you the preference to decide whether you would like to store your data on-premises or SAP S/4HANA Cloud.

Talk to our experts if you are interested to learn more about accelerating your S/4 journey. GAC solution can share a detail point of view & step-by-step blueprint on Selective Data Transitions to SAP S/4HANA which will offer you a swift and pre-defined path to SAP S/4HANA.

Author Name: Aparna Tarafdar


Digitizing the apparel supply chain


We are evolving towards the complete digital ecosystem and the pandemic has fast forwarded the transformation for good. This ecosystem will indulge on multiple digital technologies – which includes predictive analytics, AI, robots, smart logistics, manufacturing and warehousing platforms. Before we jump into the crux of digital supply chain. I would briefly like to touch why supply chain exists? While the answers may differ, from individual to individual but the fundamental objective is streamlining the processes involved in moving goods from point A to point B and as a way of increasing efficiencies business wide.

The pandemic has crippled the supply chain process around the work due to the outdated systems. Many processes still run manually, and paper based. Whilst social distancing measures are in place, this can be difficult, causing further distractions to supply chains. Using a digital approach to these typical systems can eliminate the need for face-to-face interactions, improving business both during and after the pandemic.

In fashion and apparel sector, the SCM is currently undergoing a digital transformation. Thanks to the rise of new technologies. Across sectors and businesses, digitalization is challenging old operating models and unleashing new potential. The traditional apparel supply chain consists of four different stages that often operate in silos. But to maximize the benefits of digitalization, the different phases must be well connected and well-coordinated, so that any increased efficiency gained at one stage can be reflected in smoother operations in the following stage. Digitalization itself can improve coordination by facilitating communication between different stakeholders along the supply chain. I will be talking in depth on how the apparel supply chain can be transformed digitally and the advantages that digitalization brings to the value chain.

Ways to digitize the apparel supply chain.
3D technology used in the Product Design and Development Stage: Saving time is crucial for apparel manufacturers and retailers. The design stage can move from a paper-based process to a fully digital process through the use of 3D fashion design technology. Such a shift would minimize the need for designers to ship physical samples to producers and reduce the length of time needed to move an item from design to manufacturing. Currently, 3- D printers can work only with a few materials, such as plastics, resins, powders, metals and ceramics. The machines lay down continuous layers of the material, each building on the last, until the object is created.

Smart Distribution with the help of IoT & RFID technology: Robots, autonomous vehicles, blockchain technology, radio-frequency identification (RFID) and near-field communication (NFC) all technologies can be used to transform the distribution. Services such as click-and-collect rely on having a clear view of inventory, which RFID can provide.

In-store Technology to increase topline: Optimizing the supply chain process is vital in the sales stage digitization can take place in the form of e-commerce, m-commerce, social media analyzer, localization techniques, 3D mirrors.

Author Name: Aparna Tarafdar