Best practices in digital transformation to start adopting now

Sep 18, 2024Modern Technology Application

For organizations looking to improve their efficiency and better manage their data, there are some basic principles that we consider foundational to any “digital transformation”. That term can mean many different things, but we see it as deeply related to a fully digital, automated data management system. 

The path to becoming a digital-first organization powered by data is an ongoing process as new technologies make it possible to accelerate productivity, improve accessibility, give employees more tools than ever before, and offer customers, stakeholders, and patients better experiences. 

In order to get there, here are the basics of “digital transformation” you should be investing in if you’re not already:

1. Organizations are finding security and confidence in the cloud.

There’s a shift to dynamic content services and digital asset management including a focus on cloud, which is allowing organizations across the world to better navigate market volatility, service disruption, and empower their remote workforce.

Think about the world today and the potential for disruption to your customers, patients, or constituents. The cloud provides reassurance during incidents such as natural disasters or cyber attacks that you’ll be able to continue business as usual.

Here are some other reasons we’re seeing a shift to cloud-based hosting: 

      • Cheaper and faster to deploy new solutions
      • Better access to information and tools across your organization 
      • Disaster recovery
      • More time to focus on customer, patient, or constituent needs 
      • Increased ROI

Get a free Cloud Readiness Assessment and envision what the cloud can do for you.

2. Artificial Intelligence (AI), Robotic Process Automation (RPA), and Machine Learning (ML) are on the rise as organizations focus on eliminating repetitive tasks and amplifying their teams.

We’ve heard these mentioned time and time again, and they all sound great. In the past, organizations have been in the exploration phase with these rather than taking action to implement. Now we’re seeing more use of AI, RPA, and ML being built into information management strategy as organizations are looking to improve operations, automate business processes, become more data-driven, and stay ahead of the competition.

Use AI and ML to structure, extract, and enhance your data. Learn more.

 

3. Low code tools are enabling organizations to be more agile and pivot faster.

We don’t always have the time or resources to spend on large development projects that will take months or years to implement. We have to find ways to meet customer expectations, release innovative products and solutions, and differentiate ourselves now.

Low-code tools allow business functions and IT to work better together, decrease costs, and quickly respond to customer needs. Essentially, they allow you to change faster.

4. Outsourcing is becoming a more viable solution for many tech teams.

We’re staying on the topic of organizations needing to quickly pivot and scale. Staffing technical roles have become an area of concern as IT teams have experienced significant change over the last few years.

    1. IT teams are supporting the large increase in remote employees due to the pandemic.
    2. IT leaders have to proactively plan for staffing and be strategic when thinking through needed skills.
    3. There’s an overall shortage in IT roles, especially those highly technical positions where years of experience and knowledge are needed.

    We have highly knowledgeable IT staff ready to deploy to your team. Learn more.

    Overall, organizations like yours are working to keep up with customers’ needs and expectations while balancing a shift in the ways you work and access information. Much of this boils down to internal process improvement, better data management, and finding opportunities for automation.

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