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 specialized 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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Scroll your mouse wheel or pinch your
trackpad on the Radar to zoom in and out.
Click on an element to explore its
connections and relationships.
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Explore SDG Group's Innovation Radar by searching or clicking
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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Download Epoch #7: Key Insights Inside
Discover the trends shaping the future of AI and enterprise technology:
How autonomous, self-healing software is transforming development
The rise of the agentic economy, where AI can transact and negotiate
Breakthroughs in forecasting with pre-trained models for instant insights
AI agents that operate tools and interfaces like humans, no APIs needed
The shift to synthetic, AI-ready data for secure and scalable innovation
New “skill-based” architectures that make AI systems more efficient and cost-effective
Explore the four innovation quadrants (Data, AI, Architecture, and Business), and learn what’s driving the next generation of scalable, autonomous systems.
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