Insights Room

The SDG Blog


Applying Performance Management Practices to Your Business

It is a huge challenge to improve an organization's efficiency when it comes to performance management. Most organizations have a base-level performance management system in the technology and IT sector. For example, setting financial goals and looking into KPIs that elevate their businesses forward. Nevertheless, optimizing KPIs according to their needs can be a challenging task.

The Data Life Cycle

The Data & Analytics process has a life cycle needed to collect, store, manage, and share data correctly. The cycle includes five interrelated pillars with a symbiotic relationship that allows a company to progress from one pillar to another.

The Five Pillars to Promoting a Data Culture

Audit and Planning: How to Grow With Data & Analytics

Planning and management control must be continuous activities over time, significantly if their effectiveness and performance can be increased. This often happens when using advanced analytics and the innovative tools connected to them.

The Future of Data Warehousing

​​​​​​​Data & Analytics applications evolve and change to constantly match the needs of businesses and their users. We’re seeing a Data Revolution that’s shaping to be an unprecedented time in our industry, steering us to a new horizon of Data Warehousing.

Who's Who in Data Governance?

One of the key elements of the data life cycle is people. Defining roles and responsibilities for data management is essential to executing a data strategy.


Data & Analytics technology is advancing at a breakneck pace, impacting businesses in many ways like all ever-changing markets. From democratizing technologies, to developing innovations around the cloud, new AI capabilities, and much more; several trends are gaining traction in the market.

Democratizing the Cloud in an ever-changing Data landscape

In the Data & Analytics world, Cloud-based data warehousing has begun to take hold as a leading practice for long-term data management success. However, organizations are finding it arduous to properly emerge ahead of the curve on this front.

The Value of Data and Company Strategy

Making business decisions based on the analysis of data must be done in conjunction with a company’s overall strategic goals. Without knowing what these said goals are, it is impossible to prioritize using data correctly.

Why is Data a Valuable Asset?

Generating value with the data you have is synonymous with optimizing the “data value chain.” This concept of a value chain alludes to a process of transforming data into information and then converting it into business insights for making decisions and designing strategies.

Digital transformation or cultural transformation?

If we say that Data and Analytics strategies are increasingly present in all aspects of companies, communities, and even our personal lives, no one would be surprised. We all know this by now, but the million-dollar questions is: How do we do it? Where do we start? Is our company ready?

Data-Driven Mindset: The Strategic Formula for Cultural Transformation

We are witnessing an extraordinary time. We are fully immersed in the digital era that will lead us towards a cultural transformation. The current circumstance takes us out of our comfort zone and we have a lot to gain (and nothing to lose.) We must see data as the big opportunity for changing the paradigm and culture.