At SDG Group, innovation is the fuel that drives our value propositions in the field of Data, Analytics, and Artificial Intelligence.
Our solutions and architecture designs reflect a solid balance between the technological edge and the use of stable technologies, which has allowed us to build consistent and modern data architectures, offering complete capabilities to meet our customer’s business needs.
Thanks to this vision, we have positioned ourselves as a leader in professional services specialised in Data & AI.
We believe that true innovation thrives on collaboration and knowledge sharing. That is why we have decided to share our Innovation Radar with the world. This is a dynamic, ever-evolving tool that reflects the latest trends and tools impacting the data universe.
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Click on an element to explore its
connections and relationships.
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on the radar, insights or trends in data, analytics, and AI.
Type
Trend
Tool
Pattern
Framework
Evolution
Increase
Decrease
New
Stay
Impact
Low
Medium
High
Click on the legend to filter elements.
What does these elements mean?
Deep into the elements of Radar
Types
Evolution
Impact
Relevance
Trend
Trends signal evolutions
or emerging changes in practices, technologies, or theories that affect data
architectures from the point of view of infrastructure, data engineering, advanced
analytics, and business needs. These trends may arise from technological advances,
changes in data regulation, or new business strategies the demand different ways of
handing information.
Tool
Software applications,
platforms, or utilities that facilitate the performance of specific tasks within the
process of building data & AI architectures.
Pattern
Design patterns are
reusable solutions for common problems in the design and implementation of data &
analytics systems. These patterns provide a framework for creating robust and efficient
architectures.
Framework
A structured set of
concepts, practices, guidelines, and tools that provide a systematic way to build and
manage the architecture for a specific use.
Increase
An element that
has increased in its implementation priority.
Decrease
An element that
has decreased in its implementation priority.
Stay
An element that
has not undergone any change.
New
An element that has
appeared on the radar for the first time.
Low
The element will make
new capabilities available to users of the architecture, but will not represent a
significant change in the architecture or will only be applicable in very limited user
cases.
Medium
The element will have
an impact in certain areas of the architecture. Although its infrastructure is
considerable, it manifests itself in a more limited spectrum of situations.
High
The element will
have a very positive impact on the architecture that integrate it due to the innovative
capabilities it brings, leading to an evolution in most use cases.
Relevance
This dimension refers to
priority of application based on differential capabilities that the element will
provide, and the subsequent competitive advantage.
This dimension will not
be represented in the form of color an associated symbol, but with the position of the
trend within the circles that form the radar.
The closer to the center,
the more transcendence it will have in the short term.
Less relevanceMore relevance
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Get the full report to explore the main insights
We’re sharing the fifth edition of our Innovation Radar.
The meeting point where emerging technology turns into a real business impact.
In this new edition, we discover that the world of data and artificial intelligence is reaching an inflection point.
From interoperable AI agents that collaborate as true digital teammates to secure and scalable enterprise platforms that enable experimentation, organisations are moving from isolated pilots to solid, growth-ready ecosystems.
Are You Ready for What’s Next?
Data, Analytics & AI Trends 2026
Explore the top 10 trends set to redefine competitive advantage in the year ahead.
Data Giants: Simplify architectures but create new dependencies. The key lies in designing strategies with “exit doors” that guarantee interoperability.
Generative AI: Turn complex technology migrations into opportunities for modernisation and acceleration.
Small Model Trends: Smarter, leaner, and more cost-efficient intelligence.
Causal Ops: Go from knowing what happened to understanding why, improving attribution and strategic decision-making.
AI-Augmented Data Science: Amplify human talent, enable more experiments at lower cost, and open the door to innovations such as customer voice analytics, computer vision, and AI avatars — transforming both experience and security.
Download and Explore the Four Quadrants
Dive into the Four Quadrants and their Futures to explore the details around the trends that are gaining traction — and why they’re essential for organisations around the world.