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There are many risks involved with enterprise data migration. To mitigate these factors, many companies overlook the importance of expediting the process. Migrating data quickly can bring many benefits, the most obvious of which is a clear competitive advantage. However, this approach is lined with pitfalls.
Ultimately, the best way forward is to adopt a combined approach to enterprise data migration. You’ll need to preempt potential compatibility issues and have resources in place to remedy them.
However, you’ll also need to ensure the speed of data mitigation isn’t compromised. Looking to speed up data mitigation without introducing critical risk factors? Read on for three essential recommendations from Brosnan Property Solutions.
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Call on tried and tested expertise
Enterprise data mitigation can be a complex and time-consuming endeavor. According to some estimates, a successful data mitigation project can take anywhere from six months to two years to deliver. Because of the significant risks involved, you’ll need to utilize a range of resources.
Bring in outside talent – Enterprise-scale data migrations have been around for decades in one form or another. As such, you won’t struggle to find expert insights. Most businesses will not have internal resources to support every aspect of a data mitigation project. Although there are cost implications to bringing in outside talent, doing so is a great way you can mitigate risks and accelerate project timelines.
Identify unique challenges – There’s no one-size-fits-all to enterprise data mitigation. Different industries will have their unique challenges. Although some solutions can be applied across sectors, most projects will come up against unique hurdles.
When seeking out technology to accelerate enterprise-scale data migration, look for solutions that have been designed for your specific industry. When building resources for your project, embrace expertise from every available avenue.
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Utilize the right technology
It’s tempting to cut corners with data migration. Some businesses choose to rely too heavily on internal teams. Others opt for low-tech solutions rather than invest in new solutions. Both approaches are high-risk.
A recent survey found that as many as 75% of data teams reported working with outdated migration technology. What is the impact of this low-tech approach on an enterprise-level business? Well, it can cost up to $43 million annually.
Use a centralized platform – To speed up data migration, look for ways to make your project as efficient and accessible as possible. The easiest way to do this is to utilize a centralized solution. Cloud-based solutions make it simple to monitor all active workflows and ensure everyone is working to the same guidelines.
As well as providing instant oversight, it brings transparency. A centralized platform ensures all stakeholders enjoy maximum visibility, allowing them to realize their objectives as quickly as possible.
Investing in superior technology will also allow you to embrace automation. A manual approach to migration is never the way forward, especially when you’re working at an enterprise level. There are obvious time-saving benefits to smart automation, but you will also eliminate human error.
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Data quality best practices
Never underestimate the importance of data quality when undertaking a data migration project. If you do, don’t be too surprised if your final delivery falls far short of client expectations. You should be looking to optimize content, rather than simply move it from A to B.
One reason why data quality tends to suffer is that optimizing takes time. Read on for some simple ways to optimize data, without encountering any significant delays.
Do you need all that data? – If you’re going the “lift and shift” route, it’s easy to transfer huge quantities of data you don’t need. There’s no need to overload a new system with irrelevant data.
Migrating this data isn’t only unnecessary, it can lead to performance issues down the line. One of the easiest ways to do this is to scour your assets for duplicate content.
Make use of data mapping – If you’re dealing with enterprise-level data migration, you’re going to encounter some mapping issues. An easy way to overcome barriers is to invest in pre-designed mapping solutions. These solutions are incredibly intuitive, using insights from previous migration projects to assign the right data to its desired target. Naturally, this will accelerate any data migration effort.
Enterprise data migration made easy – There are a lot of risk factors involved with enterprise-level data migration. As such, it’s easy to sacrifice the speed of delivery to safeguard your migration project. If you don’t have the right expertise at your disposal, rising to the challenge of a data migration project can be almost impossible. This is made even more difficult if you’re looking to accelerate project timelines.
If you don’t have in-house expertise you can rely on, don’t be afraid to bring in external teams. Are you still using outdated technology? Upgrading to a centralized, cloud-based system is the way forward. Not only do you benefit from increased visibility and transparency, but you can also lean on smart automation tools to expedite individual workflows.
