Insights That Power
Smarter Digital Decisions

The challenge of legacy systems has, until recently, been viewed as a liability with soaring costs attached to finding solutions. However, it is becoming evident that system modernization strategies can be built off of legacy systems in ways that will save the enterprise money.

As customers' expectations change, and the way we do business shifts further into the digital era, how companies implement their digital strategies must also change.

We are long past the days of creating a light bulb and the battery, and completely disrupting life as we know it. So, how does this reflect in our global marketplace?

When software projects hit the development team, generally there is pressure on the teams to reach the V1.0 milestone as soon as reasonably possible.

An enterprise application is a software platform designed to operate on a large scale, typically deployed over a network and made up of several different components.

As we march into the future, we need to keep up with technology and the design methodologies that surround it, moving from P2P connectivity toward an API-led connectivity model.

The problems that can be solved by Machine Learning technology are virtually limitless. Businesses are already benefiting from its prediction power, as well as its ability to personalize customer experience.

ISVs are always on the search for what is needed to stay ahead in today's software services climate, as technology and customer expectations progress rapidly.

Many entrepreneurs have an innovative idea that requires software development, yet lack the resources to deliver the innovation to market in the timeframe that is desired.

How you onboard an outsourced engineering partner shapes the outcome of the whole project — treat it like hiring, not procurement.

A durable software business needs a clear roadmap, the right team structure, and workflows built for continuous evolution — not just a good idea.

Modern software companies can't just pick one value discipline to excel at — product leadership, operational excellence, and customer intimacy now all matter at once.

Successful mobile app development comes down to getting six things right: user research, functionality, platform choice, bandwidth, software architecture, and cost.

As digital infrastructure spreads, location matters less for business success than the ability to collect and use data effectively.

As software products mature and add features to meet new needs, they risk becoming bloated — the fix is rethinking information architecture, not just adding more configuration.

Legacy systems eventually become a liability — modernization approaches generally fall into rebuild, rehost, or revise, each with distinct tradeoffs.

Software products can fail by adding too many features or too few — the fix is auditing your development pipeline and closing communication gaps.

Cryptocurrencies solve a real payment-technology problem, but for now, traditional banking systems remain the more stable foundation for the global economy.

GDPR compliance requires concrete technical practices — from data minimization to encryption to consent tracking — not just a policy update.

Software has been slower than other industries to embrace user-centered design — but microservices and better tooling are helping design thinking catch up.

Testing a microservices-based application means testing each service individually and the connections between them — a fundamentally different challenge than monolith testing.

Choosing back-end technology comes down to business needs, local talent availability, hosting model, and the tradeoffs of each programming language.

IoT adoption raises real challenges around data architecture, infrastructure readiness, and security — but the payoff spans industries from logistics to agriculture.

Legacy modernization is costly and disruptive in the short term, but the alternative — staying on unsupported systems — carries even greater long-term risk.

Cloud platform providers are increasingly building native versions of the features ISVs used to sell standalone — forcing ISVs to rethink their strategy.

Combining containers, microservices, and DevOps gives development teams a faster, more portable, and more agile way to ship software.