The creation and growth of cloud-native services are not only changing how technology departments are creating new tech, but it’s also changing the entire business landscape altogether. Over the past decade, the cloud has revolutionized the tech-savvy organizations, and now it’s an all-out race to realize the potential upside for all enterprises.
Whether migrating to the cloud, integrating new applications to streamline operations or embedding data analytics into existing systems, the light at the end of the modernization tunnel can seem elusive. However, the right approach and mindset can help to drive you toward the end game or at least to a new beginning. Here are a few things to keep in mind.
These days, no matter what your industry is, you know you need a data innovation strategy to grow. Not only does data increase your sales, improve your customer experience and reduce your operating expenses, it also provides incredible insight that companies like yours would never have dreamed possible in the past.
The best digital transformation strategy in 2020 is to create an approach that includes feedback from your customers and employees within the organization. You can’t force a digital transformation to be successful.
IT professionals are ready to break free of the subsidiary role they’ve traditionally held – but after years of being bossed around, it may be difficult for them to determine their path to autonomy. They’ll need to create a strategy to work the business stakeholders rather than be order takers. Here’s how to do that.
For any Infrastructure Strategy to be successful, it is critical that enterprise architecture reviews of any system on the core systems roadmap, are done carefully, and strategically. A fundamental element of having a more pragmatic approach to system architecture reviews is a deep dive into the details of the business outcome we’re aiming to drive through this system.
To create a data-driven culture within an organization is easier said than done. When done properly, yes, companies can use data to make better decisions with proper insights. But, the question is, why do companies not live up to the expectations they set for themselves when it comes to data strategy?