Recent TRG blog posts

As we have explained in earlier blog posts, proper document management is a challenging but worthwhile practice. However, if you have decided to invest in a document management system (DMS), a whole new problem arises – Which one do you choose and what does such a system even need?

Many businesses today are still relying on paper registers, massive spreadsheets and human resources to manage a lot of workflows in their business. Operations such as inventory reporting, sales approval and customer experiences that are managed manually will often result in many bottlenecks as operations become backlogged because of the sheer amount of data that needs to be catalogued and processes that need to be done. As a result of this, data is often lost or incomplete, and productivity and efficiency are reduced.

Businesses across all industries have two things in common: they utilise documents and they create a lot of them. Documents are used for everything from sales reports to product development and end up being stored in all sorts of places, both digitally and physically.

Document management is often an overlooked practice in your business, but did you know that according to research your employees can spend up to 20% of their time at work searching for information about the task they are currently doing?

As planning, budgeting and forecasting become indispensable strategic contributors, finance executives begin to realise the need to transform their rigid yearly financial planning by adopting more advanced (both on-premise and cloud-based) analytical tools. 71 per cent of organisations surveyed by FSN in 2017 has been able to reforecast more than twice a year, up from 56 per cent in the previous year, although the forecasting accuracy is still fairly low. 

Analytics and Business Intelligence (BI) software is increasingly becoming indispensable to organisations seeking to be more data-driven. Accordingly, software vendors are working hard to ensure their products can provide actionable insights from analytics, communicate the results, and support internal communication and collaboration between functions when needed.

The amount of data generated throughout today’s manufacturing process – from product development to production and post-sales support – is astonishing. That said, the capabilities to utilise such data volume is not yet catching up. For instance, an oil-exploration company was able to collect more than 30,000 pieces of data from one single drilling rig. Most of that data, however, was wasted.

Company culture can dictate how data-ready is your organisation. To increase the success rate of analytic application, speed up the adoption and guide the company away from technological pitfalls, you need to build a strong, healthy data culture.

What makes an organisation stand out and lead today's economy lies in the way they use their data. It is a fact that we are sitting on endless streams of valuable insights but we are unable to process them all. Some of us are doing better than others in leveraging advanced technologies to get the needed information while others are still struggling with the basics.

You’ve heard of Digital Transformation, but do you know what comes after it? A long leap in technology will result in more changes in both IT ops and DevOps. From the vendors’ point of view, they have to adopt a new vision, from simply focusing on big data or machine learning, to the inception of a new generation of platforms that unify both of the technologies.

And the changing pace will only escalate drastically, leading to the rise of AIOps.