In the midst of a volatile tech market and a global shift in the workforce landscape, digital transformation is more important than ever. New technologies are emerging and evolving at an unprecedented rate, disrupting traditional business models and opening up new opportunities for those who adapt quickly.

To survive in this highly dynamic environment, companies must prioritize a shift to digital transformation.

Digital transformation has brought about a significant shift in the way businesses handle data. More than ever before, organizations now collect, store, and analyze massive amounts of data from a variety of sources. In order to ensure that data - and the business itself - remains compliant and secure, organizations must take appropriate measures to protect their data and ensure its integrity while also complying with applicable laws and regulations.

SWOT analysis is a structured process that helps businesses identify their internal strengths and weaknesses, as well as external opportunities and threats.

Learn how to use a SWOT template and leverage this tactical approach to help your organization gain a comprehensive understanding of your current situation, enabling you to make informed decisions and create a robust business strategy.

In today's data-driven world, retrospective analysis is key to optimizing performance and promoting continuous improvement. By creating a collaborative environment that prioritizes data, organizations can unlock new insights and drive more effective decision-making.

This article is your comprehensive guide, complete with real-world examples and best practices to help you get the most out of your business data.

Understanding the ROI of your tech stack can be challenging, especially for communication & collaboration tools that exist behind the scenes, and don't directly produce revenue.

However, it's still possible to complete a cost/value analysis for digital whiteboards and workspaces - we have curated a list of KPIs and metrics that can be used to determine the ROI of your collaboration tools.

Distributed and hybrid teams bring a host of challenges - but the biggest challenge is often shifting the perception of these new workforces — from one of pain to value.

We've put together some tips from our experts that will help guide your organization's distributed teams into value-generating powerhouses.

Free-to-use software is appealing, and it can be a great solution for budget-conscious startups. But the sacrifices you make in the process aren't always obvious. The reality is that, if you aren't spending money upfront, you will likely end up spending even more of it in the long run.

When your team is attempting to problem-solve, brainstorming is one of the most powerful tools you can use to generate ideas and find innovative solutions. But how should you approach your brainstorming session? Is it better to go into it with a plan laid out and a clear structure, or to keep it open-ended and free-flowing?

Getting a full understanding of Customer Data Platforms will give any team an edge in putting together the puzzle of their customers. If you want to stay on top of digital transformation in 2023, and gain a competitive edge in the marketplace, you’ll need to know a thing or two about these powerful platforms.

Discover how Hybrid Integration Platforms (HIP) can accelerate digital transformation efforts for data-driven professionals. Learn how HIPs enable efficient and secure integration of data, applications, and systems, and drive innovation in your business.

When it comes to managing your team's software delivery lifecycle and application lifecycle management, automation provides the speed, agility, and reliability needed to stay balanced while keeping up with ever-changing customer demands.

To get the most out of SDLC/ALM automation, you'll need to bake it into your company culture, bringing in concepts from DevOps, Agile processing, and beyond.

Software complexity is a measure of the structural elements and relationships between them in a software system, and understanding how to monitor it helps the entire team stay connected, efficient, and on budget. With an understanding of the metrics available and a constant collaborative spirit, you’ll be sailing down the slopes to success in no time.

Software Development Lifecycle and Application Lifecycle Management are often confused, but they’re not the same thing.

ALM is a tool used to manage the entire software development lifecycle, while SDLC is the process itself.  Both are key to success, and anyone involved in software development to understand how they works, and why they matter so much.

While taking risks and finding innovative ways forward is important to keeping your team relevant and competitive, pinpointing any issues and preventing disaster can’t be ignored. Risk management should be a key initiative in any business - regardless of size, industry, or function.

Agile ALM can be seen as a combination of two separate ideologies: Agile Practices and Application Lifecycle Management.

Combining the iterative software development model of agile with the engineering practice of ALM is a delicate balance that - when done correctly - can vastly improve the quality, speed, and efficiency of software development.

Defect tracking is the process of identifying, logging, and managing issues within your application. This could include design flaws, coding errors, or even usability issues.

Having one workspace that can be fully integrated with any defect tracking tools you’re using encourages communication between teams, and can be an essential part of combating defects and promoting efficiency

When developing an application, it’s important to remember that the journey of creating a successful product doesn’t end with the initial launch. There are many steps involved in Application Lifecycle Management (ALM) – from planning and designing to monitoring and maintaining.

It takes ongoing dedication, guidance, and support throughout each stage of the ALM process to ensure your application continues to grow and reach its full potential.

Structured and unstructured data are two major types of data that differ in their formats and how they are organized. Businesses that find a way to leverage both types efficiently are at an advantage, enabling true data-driven decision making in virtually all aspects of a business.

Any business looking to make the most of the valuable resource that is data must have both a data management and data governance strategy in place. Stormboard is here to help you understand both, how they work together, and what your organization may be missing.

When it comes to data collection, it's easy to get lost in the world of numbers. Trying to figure out how best to measure and quantify something that might not necessarily have a numerical value - like innovation - can be overwhelming.

But it doesn't need to be - learn how your organization can take the next step toward data-driven innovation.