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2022 DATA & ANALYTICS TRENDS

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.

2021 DATA & ANALYTICS TRENDS

The past year showed us how critical real-time information is in solving major societal challenges.
Data & Analytics are essential to weathering the storm during periods of disruption and uncertainty and equally important for recovering and leading in the "Next Normal" that will follow.

From Science Fiction to Data Science

Literature and cinema have always found a great interest in Artificial Intelligence. It has been a source of inspiration for hundreds of stories and tales about a world that previously seemed like science fiction to us. However, it is becoming more and more real now. Marvin Lee Minsky, considered one of the fathers of Artificial Intelligence, had a vision; he was convinced that AI would save humanity.

Algorithms and Types of Machine Learning

Advanced Analytics is a comprehensive set of analytical techniques and methods - Big Data, Artificial Intelligence, Machine Learning, and Continuous Intelligence that translate into different algorithms that are capable of learning to solve problems. The problems correspond to a company's strategic and operational objectives and its industry challenges or demands.

The main challenges in the adoption of Advanced Analytics solutions

Artificial Intelligence and Machine Learning capabilities are still developing, and it is important to understand their limitations and requirements. The adoption time can be fast, but it depends on resources, quality of the data, how it will be used, the nature of each business, and its technology infrastructure.

Who's Who in Advanced Analytics?

In most companies, there isn't a Data Science platform for creating experiments that follows a methodology and ensures quality, uniformity, governance, and parameters.

Purposeless Trends Tend to Fall Flat

How can I apply AI in my company and will it help me achieve my goals? Advanced Analytics models allow us to find the answers to key business questions.

Layers of Analytics

The impact Advanced Analytics will have on a company depends on which layers of analytics it has.