Recent TRG blog posts

Networked Business Intelligence (BI) leverages new capabilities to truly combine the centralised and decentralised models of BI, delivering the best aspects of both: end-user self-service without analytical silos. It is a new approach to analytics based on the idea that trusted and well governed data is not at odds with speed and ease of use.

Birst’s Connected Data Prep empowers business people to access and prepare data with a user-friendly, visual experience that eliminates the need for complicated scripting. Not only that, with Connected Data Prep you can network your analytics with data from colleagues, other departments, or your IT organisation, enriching your insights for smarter, more trusted decisions.

The data lake concept centres on landing all analysable data sets of any kind in raw or only lightly processed form into the easily expandable scale-out Hadoop infrastructure to ensure that the fidelity of the data is preserved.

Since its inception, the primary objective of business intelligence has been the creation of a top-down single source of truth from which organisations would centrally track KPIs and performance metrics with static reports and dashboards.

This stemmed from the proliferation of data in spreadsheets and reporting silos throughout organisations, often yielding different and conflicting results.

Known as the technology behind bitcoin, blockchain has created a profound impact on the financial industry and beyond. But its potential is much more far-reaching and not limited to cryptocurrency. As blockchain continues to evolve, the list of its business applications just keeps expanding.

The world of technologies recently is buzzing with a new terminology: “networked analytics”, which was marketed as the technology behind cloud-based Business Intelligence solution from Birst (recently acquired by Infor). Such breakthrough is expected to help businesses to manipulate data much better than what we are currently doing.

Earlier this year, Gartner published their 2018 Magic Quadrant for Analytics and Business Intelligence Platforms mentioning the trend of upgrading traditional solutions as well as expanding portfolios with new vendors as the market innovates on ease of use and augmented analytics.

Blockchain technology has become one of the buzzwords recently, it even made headlines in Vietnam. There was an entire event last March dedicated to educating fintech personnel and the general curious public about blockchain and its impact.

Machine Learning – a branch of AI, is changing the way companies utilise their Big Data reserve, which allowed them to reshape customers’ behaviour. Machine Learning based on the idea that machine can learn from data and recognise the patterns, which result in decisions and predictions with a degree of certainty.

Big Data is opening up a whole new world for manufacturers. Moreover, Big Data has become an important element of ERP system with the ability to link all data to people and processes.