The days when a “large IT project” effectively meant “enterprise-wide system installation” are long gone. Businesses today deploy large scale systems using services and micro services throughout their organizations. With systems being woven together in a complex tapestry, technology projects and initiatives demand incredibly precise coordination, especially to make large scale changes.
Fortunately, the Technical Program Manager (TPM) role has evolved to meet this need. TPMs combine superb technical skills with program/project/process management skills to dig into thorny, critical issues and lead teams to solve large and complex technical problems.
Containers are like an undiscovered band that’s played the same venue and the same old songs for many years but suddenly finds a stunning vocalist and vaults to the top of the charts. Their exciting new lead vocalist is Docker, and they’re embarking on a worldwide tour.
When you decide it’s time to invest in a mobile app, your next big decision is to choose how it will be developed. Should you choose Native development or should you go Hybrid? Like so many technology solutions questions, the answer will depend on your goals and resources. Each path can lead to success, and you can increase the odds of a great outcome by understanding the opportunities and costs associated with each choice.
Data governance initiatives are inherently complex because they affect one of the organization’s most critical assets: information. In addition, at their core lies a mandate for company-wide change. As a result, buy-in and enthusiasm is needed across the organization, starting with executive leadership.
Analytics is of critical importance for an organization’s roadmap. Good analytics helps create the metrics which shape the roadmap of an organization and drive actionable results. Analytics also gives insights into history, competitive differentiation, and predictions about the future.
An organization’s analytics maturity can be described using an analytics maturity model. At AIM we employ a model with three levels of analytics maturity: Descriptive, Predictive and Prescriptive.
Tableau is very clear and passionate about the company’s mission — to help people see and understand data. Their data visualization technology is second to none, a wonderful front-end tool that makes data come alive.
But when it comes to implementing Tableau, customers often make the mistake of relying on Tableau as a full data manipulation tool without an upstream data management platform or a plan to build one. Tableau has some very handy data manipulation features, but its focus is on front-end visualization, not data management, so these features have a few major constraints.
You just downloaded a new app for your phone. You’re landing on a website for the first time. What do you see? What do you notice? Do you know what you’re supposed to do first? If it all makes sense and it’s easy to use – that’s successful UX.
The trend toward continuous delivery and automated testing has caused organizations to lean more on the SDET role, increasing the demand for highly skilled SDETs in the marketplace. For manual testers who want to become SDETs, and for current SDETs who want to grow their value, continuing education is essential.
While many aspects of the mobile app market are maturing, sloppy practices can erode the foundation of mobile projects, create sustainment nightmares, and even cause projects to fail completely. In software development, the accumulation of errors in architecture, design, and poorly written code is referred to as technical debt.
Data is one of the most critical corporate assets for any organization. What’s more, organizations are generating data at staggering rates, with analysts predicting roughly 50% year-over-year data growth in some industries, with media and entertainment rapidly exceeding these growth estimates due to large amounts of unstructured data. According to a Gartner survey, nearly 75% of organizations are investing or planning to invest in big data in the next two years. Despite these staggering assertions, many organizations are unaware if their data is being properly captured, integrated across lines of business and accurately represented.