Seamless Journey of Legacy System Migration to Modern Architecture

  • If you are running a business, you must understand that the technology and software applications you once used are not responsive now.
  • Using under performing and outdated software to manage your business is similar to running Windows XP on Lenovo ThinkPad.
  • With rapidly rising technology and ever-growing digital space, it's imperative to go with the flow.

Summary: Legacy system migration is among the top hot topics in the IT industry. Though it involves numerous challenges, once accomplished, the new technology brings countless growth opportunities for organizations. Let’s know what you can do to make the legacy transition a seamless journey.

Many of you must be well aware of the legacy system migration, while others might be thinking about why it is essential. Some of you might not even know what legacy system migration is and why a business needs it.

To make things easier for the novice, just understand it that way. There’s perhaps a couple of good reasons for you to switch to Windows 10 from Windows 7 or XP. You know that your computer is more capable and more powerful than what you owned 5 to 10 years back.

Similarly, if you are running a business, you must understand that the technology and software applications you once used are not responsive now. They do not meet the current industry standards and may leave you behind your competitors if you continue to use them further.

Using under performing and outdated software to manage your business is similar to running Windows XP on Lenovo ThinkPad.

What is A Legacy System?

A legacy system is an outdated computer application, software, or hardware that’s still in use. Now you must be thinking, how can we use anything that has become obsolete.

Well, because it’s still serving the purpose, it is built for and meeting the business’s basic needs; though, it doesn’t allow for stability and growth. As the years pass by, the industry evolves, and the basic needs of the business change.

With rapidly rising technology and ever-growing digital space, it’s imperative to go with the flow. The older technology of the existing system or applications will not allow the business to interact with the latest technology.

Understanding this is pretty much simpler to why you upgrade your smartphone or car with a newer one.

Why is Modernization Important for Your Business?

More ambitious enterprises know that technology transformation can help them become more agile, faster, and more productive in their day-to-day processes. With better technology resources, IT teams are empowered and become better, which in turn improves decision-making.

Organizations that fail to adopt new technology always risk falling behind their market competitors. Accomplishing modernization will enable businesses and their IT teams to remain more productive and efficient.

Above all, it allows you to innovate and evolve as technology advances. Streamline your business activities, experience long-term gains, minimize your expenses, and be more confident.

Seamless Transition of Legacy Systems to Modern Technology

CTO’s often consider complex legacy infrastructure as the main obstacle to digital transformation. The most important thing to consider while taking the older systems to the new one is to protect all data, and this can only be possible with a successful migration.

It’s critical for the seamless transition of legacy software to partner with data migration experts having a proven track record.

A successful migration journey involves several crucial factors.

  • Extracting All Existing Data:

Data existing in your business’s current technology system may be splintered, soiled, or even duplicated. It might be scattered in a couple of data stores and multiple data formats. The main challenge and priority during migrating are successfully moving data silos without compromising its quality.

See data migration as an excellent opportunity to figure out data duplication, inappropriate formatting, and incomplete data.

For structured data, the extraction is usually implemented within the source system using full extraction or incremental extraction procedures. However, for unstructured data, all the components of data are initially stored in data lakes.

  • Transforming Data to Match New Formats

Using data mapping technology, the entire data is transformed to meet the new system requirements. Though the exact mapping of data is rare while moving from a legacy system to a new one, it’s undoubtedly essential.

Data transformation is usually transforming data from the format of the existing system to the required format of the new system. Transforming Data is important to make sure that it’s completely accessible in the modern system.

  • Data Cleansing for Assured Quality

See data migration as an excellent opportunity to figure out data duplication, inappropriate formatting, and incomplete data. Simply put, data cleansing is removing and fixing incorrect, corrupt, incorrectly formatted data within a dataset.

Data cleansing at this moment will help to get rid of all these technicalities and move quality data to the new system. It is undoubtedly important to establish a data cleansing template to ensure that you are doing it the right way.

  • Data Integration for Better Collaboration

Data integration means combining data across different platforms and applications for unified access. It is essential to encourage collaboration between internal and external users. Data integration has to be well established and a seamless process during legacy system migration.

Employees working in different departments and sometimes in different physical locations need to access the company’s critical data for shared and individual projects. Real time data analytics teams need a secure platform to deliver data across all lines of business to keep the functions up and moving.

  • Data Validation for Planned Migration

During migration, there’s always a possible data corruption or missing data. It’s important to ensure if the whole data set is migrated successfully, and this is when data validation becomes critical for businesses.

Validating the clarity, accuracy, and details of organizational data is important to mitigate any persisting defects. Validating data models is equally important to ensure accurate structure and avoid risks that may hamper the smooth availability of data after migrating to a new system.

  • Loading Data to New System

Loading data into a new system is perhaps the last step towards successful migration. However, it is critical to handle this step very carefully to prevent data loss, protect its quality, and ensuring that the new system is all set to go live.

Forward-thinking data migration service company can help your organization make a seamless transition by simplifying the migration processes and:

  • Delivering full API development lifecycle support.
  • Providing a uniform pricing model with no hidden costs.
  • Enabling built-in data quality, machine learning, governance capabilities.
  • Managing data across different platforms, including on-premise and multi-cloud.

Author Bio – James has more than 15 years’ experience in customer relationship management, business development and digital marketing across various fields like, pharma, banking, real estate, entertainment, telecommunications, eCommerce, electronics, etc… As a Sr. business development executive at NexSoftsys, James gives the best solutions to develop business in the global market using the latest technology.

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James Warner

James Warner is working with Nexsoftsys as a software developer. He is working on different programming languages like Java, ASP.NET, Big Data, Python, Android and IOS. He has a highly experienced developer's team that gives you a one- stop business IT solution.

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