Learn how DevOps is revolutionizing development and operations workflows, enhancing product delivery speed and cost-efficiency. Explore the critical role of continuous security auditing in DevOps to mitigate vulnerabilities and safeguard against threats.

Low and no-code automation is becoming increasingly popular as it allows users to create applications and automated processes without having to write code.

This means that businesses can reap the benefits of automation - including better data access - without having to spend time and resources on teaching their team how to code, freeing up time for progress towards digitization.

Traditionally, businesses had to rely on expensive on-premises infrastructure to store their data. However, the introduction of cloud-based data storage has significantly changed this landscape, making data storage fast, easy, and cost-effective. Cloud migration is now an essential tool for businesses, enabling them to streamline their operations and become more agile.

At its core, data analytics is the process of analyzing large datasets to uncover patterns and trends that can inform decision-making. But data analysis goes far beyond ones and zeroes and endless spreadsheets.

Find out how your organization can start extracting and analyzing your most important data points with Stormboard's leading data-first collaboration platform.

Customer Data Platforms (CDPs) are one of the most fundamental tools and resources a team undergoing Digital Transformation can have.

In this week's blog, we're exploring how a CDP can help your team collect, analyze, and store data from customer interactions across all channels, and why that matters for your digital transformation efforts.

When it comes to understanding and improving the flow of value and information throughout a business, value stream mapping helps you pull out the right keys for every door in your path.

Value stream mapping (VSM) is a visual representation of all the activities, material, and information that go into creating and delivering a product or service. It’s a way to eliminate waste, identify bottlenecks, and optimize processes.

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.

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.

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.