There is a lot to think about when setting up a Service Management system and it does not stop when it is up and running. Even if you have used the latest data migration automation solution to make sure you have all your valuable data on your new system in exactly the right formats and exactly the right locations with all the references and links working, you still have ongoing data management activities to consider.
Mastering Service Management Data Migration: 3 Expert Tips and Strategies
There inevitably comes a time when you need to look at upgrading your Service Management system. Sometimes this can be relatively straightforward but other times more of a challenge. If you are staying on the same vendor platform and there is an automated path that just moves your data over to the new version then all is well and good. But what if you have customized the current version or the new version has changed in terms of data structures and configuration or you are moving to a completely different platform? There is no question that this can be a bit daunting but by leveraging the right approach and technology it can be significantly simplified.
Real life examples of how AI is impacting different industries
Artificial Intelligence has swiftly transformed from a futuristic concept to an integral part of our everyday lives. Its influence is being left across all sectors, from healthcare to finance, transportation to entertainment. In this blog post, we review some of the ways AI is shaping and revolutionizing our world.
Data Validation: A critical process that is often overlooked when migrating data
With the focus on digital transformation, customer/employee experience and AI, data is getting more attention than ever. This makes it even more surprising that one of the most overlooked processes when migrating data is validation! But, difficult to believe or not, it is the case and one of several reasons that, as Gartner research has shown, 83% of data migration projects either fail outright or fail to meet time and budget expectations.
Already leveraging AI for coding? Is there more you can be doing? Where do you draw the line?
In the ever-evolving landscape of technology, the quest for productivity improvements and software innovation continues to drive advancements. One such transformative force is the rise of generative AI, with ChatGPT leading the charge. In this blog post, we will explore the path to achieving increased levels of productivity and software innovation through the integration of ChatGPT and other generative AI technologies.
Why Migrating Doesn't Have To Mean Leaving Your Data Behind Anymore
There was a time when migrating to a new system meant leaving your data behind. The simple truth was that it was difficult to move the data to a new system and hence the costs we high and the reliability was low. Often, integrators were reluctant to recommend moving the data and customers were unwilling to pay the price.
When is a Service Management “Fresh Start” not so Fresh?
There are many reasons why organizations change their Service Management system. Sometimes it’s as simple as scale/performance issues or a lack of available support for the current system. However, the majority of the time it is driven by the need for more value by getting a better return on investment.
Top Questions to Review with Your Migration Team
Before implementing any IT project it is important that it has been carefully planned and this is just as true for a Service Management Migration Project. Whether you are moving to a new Greenfield instance to get back to the baseline out of the box apps, consolidating multiple instances into one, or splitting one instance into multiple targets, you and your migration team should work out some important details together beforehand to ensure the project goes off without a hitch.
In this article, we discuss a few key questions to review with your migration team before starting work on a Service Management migration project.
The Importance of Careful Planning before Implementing a Migration
Easy to say but sometimes difficult to follow: “Create a solid plan before performing an important project” and this is equally true for migrations! In this article, we discuss the criticality of a robust plan when performing data migrations, alongside some of the key considerations to ensure seamless execution…
How to Avoid the Custom Scripting/Development Trap for Data Migrations
When first faced with an enterprise data migration project some of the complexities can be well hidden, making the project appear quite straightforward - when this may be far from the truth.
For example, one would think that migrating from one instance of an IT service management (ITSM) application, such as ServiceNow, to a more up-to-date instance of the same application would be simple enough. But if the data structures have changed significantly between the old version and the new, or the old system has extensive customizations, a project team that hasn’t been made aware of the challenges might find itself stuck between the proverbial “rock and a hard place.”
How to Avoid The Common Do It Yourself Data Migration Mistakes
When planning an application data migration, especially a migration from one instance to another on the same vendor platform, many organizations first impulse is to take the “do-it-yourself” (DIY) approach. This is understandable, after all, how difficult can it be to move the data?
Most such organizations learn the hard way that a DIY migration can be much more difficult than expected. In this article, we discuss some of the reasons why DIY migrations from one instance to another can often lead to failed projects or large time and cost overruns.
Planning a ServiceNow Migration? Don’t Forget These Technical Considerations
By any measure, ServiceNow is among the most popular IT service management (ITSM) tools available today. Organizations worldwide have relied on ServiceNow to manage every aspect of their ITSM, from day-to-day helpdesk operations to problem management, change control, knowledge management, and more. Many organizations are long-time ServiceNow customers – some stretching back 10 years or more.
Staying Ahead of ServiceNow Migration Challenges
By their nature, most IT projects are difficult in many ways: Difficult to plan, difficult to fund, and difficult to execute. For some projects, it’s even hard to define what problem it is that you’re solving or the expected benefits of the project.
Those difficulties, among others, help explain why so many IT projects fall short of expectations or fail altogether. IT service management (ITSM) system migrations are no different, and many suffer the same maladies that other IT projects experience.
Data Replication vs. Data Back Up: What's the Difference?
Precision Bridge is a trusted partner in IT service management (ITSM), and in our years of operation, we’ve refined our solutions for data migration, archiving, replication and synchronization. One question we sometimes receive is “What about backups?”. This isn’t surprising, as backups are a bit easier to understand than data replication for those outside the IT world.
In this article, we'll explore both the similarities and the differences between data replication and backup and how both can benefit your business.
Data Replication Challenge #4: Data Consistency and Quality
Given how many business processes rely on immediate access to accurate data, it’s no surprise that data replication solutions are a hot topic in the business world.
Data replication serves numerous functions. It creates disaster recovery backups, makes data accessible to various business entities that may need to access it, and many other functions. And while replication is essential for many companies, we’ve seen them deploy solutions with the best of intentions only to struggle with the ongoing challenges of data consistency and quality.
Data Replication Challenge #3: Managing Technical Lags
What’s one of the most common problems businesses experience when they implement new data replication solutions? In our experience in ITSM, we see one particular challenge appear time and again: how to manage the technical lags that interfere with performance.
Technical lags in replication manifest as (a) high bandwidth requirements for the chosen solution, (b) inefficiencies around source data removal, and (c) the overly-complex practice of using separate tools for replication and archiving. Fortunately, easy workarounds for these roadblocks exist, which we describe below.
Data Replication Challenge # 2: Too Much Effort with Little ROI
Few businesses these days take on any project without weighing the costs against the benefits or evaluating the return on investment (ROI). In this analysis, most organizations consider aspects such as level of effort and total cost of ownership, which includes startup costs and ongoing maintenance and support.
Taken together, these analyses can help a business understand whether a proposed project is worth the effort.
Data Replication Challenge #1: Overcoming High Costs
Among Sir Isaac Newton’s laws of motion is that an object at rest tends to remain at rest, and an object in motion tends to remain in motion, unless acted upon by an internal or external force. Physicists call this phenomenon inertia.
Organizations can experience inertia as well. Sometimes it takes a great deal of effort to get an organization to change course. Even when an organization recognizes the need to change, it can be difficult to overcome the organizational inertia to implement that change. Finances, office politics, fear of change, and other factors can all keep an organization on its current path, even if that path is not the best one.
Top 4 Data Replication Questions to Ask
Any CIO will tell you that data preservation is one of the organization’s highest priorities. Data that is corrupted, physically destroyed, or compromised in some other way can bring a company’s operations to a halt.
A business can suffer legal consequences, too, for failing to preserve data. Most countries have regulations that require certain types of data to be retained, sometimes for decades, even if it is no longer in active use, or is tied to a system that was retired long ago.
The Current State of Data Replication and Archiving
With business data changing every day, it makes sense that so many companies leverage ongoing data replication processes to keep information up-to-date, accessible, and accurate in case they need to access it.
Briefly, data replication creates copies of selected application data in on-premise or cloud-based repositories. This includes processes for ongoing updates and data syncs. Compare this with data archiving, which creates copies of old or inactive application data and removes the original data from the source platform.