The what, why, and how of choosing the right Decision Intelligence platform

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In today’s dynamic and data-driven business landscape, the role of a business leader has evolved significantly. Gone are the days when decisions could be made solely on instinct and experience. To thrive in this era of complexity and uncertainty, mastering Decision Intelligence has become not just a valuable skill but an absolute necessity for business leaders. It holds the promise of better, faster decisions that can propel your organization to new heights of success.

What is Decision Intelligence?

Decision Intelligence represents the fusion of data, analytics, and human expertise. It is the art and science of leveraging data, analytics, and human expertise to make better, faster decisions. By combining the power of augmented analytics with contextual decision-making, Decision Intelligence empowers organizations to navigate complex situations with confidence. It addresses the current shortfalls of fragmented data analysis and ineffective dashboards and helps innovative leaders raise their current data and analytics capabilities to the next level.It empowers decision-makers to extract actionable insights from data, apply those insights to real-world scenarios, and ultimately make better, faster decisions.

Why should you care?

Decision Intelligence empowers organizations to make data-driven, informed decisions, unlocking a multitude of advantages that drive growth and innovation. Namely, organizations can:

  • Grow revenue and identify new revenue streams: Strategic planning is the foundation of a successful business. Decision Intelligence equips leaders with the tools to formulate, execute, and adapt strategies in real-time. It helps in scenario planning, market analysis, and resource allocation, allowing leaders to identify opportunities, be customer-centric, and respond swiftly to changing market conditions.
  • Reduce costs, complexity, and risks: With automated data management technologies as well as advanced analytics features and visualization capabilities, Decision Intelligence tools reduce the need for hiring data engineers, data analysts, or designers. Decision Intelligence also helps in risk mitigation by providing predictive analytics and scenario modelling.
  • Adapt rapidly: Business conditions can change overnight, as demonstrated by global events such as the COVID-19 outbreak. Decision Intelligence provides the agility needed to pivot quickly in response to unexpected disruptions. For example, trend and anomaly detection capabilities enable organizations to be agile and resilient.
  • Promote a data-driven culture: Implementing Decision Intelligence fosters a data-driven culture within organizations. It encourages stakeholders to base decisions on data and evidence rather than intuition which means there is improved transparency and accountability in decision making.

Mastering Decision Intelligence: Best practices for choosing the right DI platform

Mastering Decision Intelligence is not an overnight feat; it’s a journey. It is not just about choosing the right tool, technology, or human resources;successful Decision Intelligence initiatives require a deep understanding of how an organization’s decisions are made, as well as a commitment to evaluate outcomes and manage and improve the decision-making process with feedback. Here are the best practices for business leaders who want to succeed in their Decision Intelligence journey:

  • Assess your organization’s needs: Start by identifying the specific needs and challenges within your organization. What are the primary goals of implementing Decision Intelligence, and what problems are you trying to solve? Are your goals aligned to business outcomes and how do you plan to evaluate the outcomes? These questions are important to answer to set the expectations for the Decision Intelligence initiative. This also includes identifying the right stakeholders and securing buy-in and support from organizational leadership, to ensure they are aligned with the objectives and expected outcomes.
  • Start with low-hanging fruit: Start with identifying well-defined processes with low risk and sufficient data to experiment,such that they can be considered as the proof of concept for the Decision Intelligence platform you choose. The more attributes you add and processes you choose to automate, the easier it will be to implement insights related to such processes using Decision Intelligence tools.
  • Understand your analytics maturity and data infrastructure: Decisions are only as good as the data they’re based on.It is important to understand your current position in the data analytics maturity spectrum to assess the application and success of Decision Intelligence tools within your organization. If you already have robust data infrastructure in place and are working on multiple tools for analysis, Decision Intelligence platforms can help simplify the ecosystem by providing ways to infuse multiple analytics assets to form a cohesive 360-degree view of the business.
  • Assess all key Decision Intelligence capabilities: As organizations strive for agility, efficiency, and competitiveness, Decision Intelligence tools can make the critical difference between success and stagnation. Evaluate how well the tool integrates with your existing software systems and data sources. Ensure it supports advanced analytics models with a no-code environment and an intuitive interface. Verify that the product complies with data security regulations relevant to your industry.
  • Be ready to take bold risks: Sometimes, data-driven recommendations fly in the face of instinct. But to be truly data-driven, you need to make bold decisions. If there is complete transparency and confidence in the decision output, as well human-in-the-loop validation, it’s better to let go of your gut feeling and rely on data-driven insights. This approach enables stress testing of the Decision Intelligence platform while better equipping it to support complex decision-making processes.
  • Embark on a never-ending learning process: Decision Intelligence is not a simple one-off project. It needs constant monitoring, feedback, and re-evaluation to ensure it can tackle real-life scenarios, learn from past mistakes, and adapt to a changing business landscape. Establishing mechanisms for gathering feedback from users and stakeholders to continually improve decision models and processes is essential to sustain any Decision Intelligence initiative. User feedback is crucial to increase its efficacy as it is used to improve the ML model performance and make the tool more efficient and accurate.

Remember that Decision Intelligence is an ongoing journey of improvement and adaptation. By incorporating these best practices into your organization’s decision-making processes, you can enhance your ability to make informed, ethical, and impactful decisions that drive business success.

Making your Decision Intelligence journey a breeze

The decision-making process is at the heart of every successful organization, and a well-chosen Decision Intelligence tool can be the catalyst for transformation. Selecting the right Decision Intelligence tool is a pivotal decision in today’s data-driven business landscape.

Lumin, Fosfor’s Decision Intelligence product, is revolutionizing the business intelligence category by empowering everyone in any organization to quickly discover insights from all their data. Lumin combines AI and ML-driven automation with natural language search and autonomous insights, reducing analyst time to process advanced and ad-hoc analytics requests from weeks to just a matter of minutes. Going beyond answers, Lumin instantaneously spots anomalies, trends, and patterns, and offers actionable insights that explain not just “what” changed, but also “why” it changed, and “how” you can act on it.

For decision-makers and business users, mastering Decision Intelligence is no longer an option—it’s a strategic imperative. Business leaders who embrace Decision Intelligence are not just leading; they are leading the way to a more data-driven and successful future. Embrace this journey, invest in the right resources, and watch your ability to navigate the complexities of modern business soar to new heights.


Ankita Asthana

Product Marketing Manager, Lumin by Fosfor

Known as a creative individual, Ankita has a knack for thinking out of the box. She is known for creating compelling stories and use cases around products to generate interest and create long lasting impressions for the audience. In her current role, she enjoys bringing Lumin- an augmented analytics product, part of Fosfor suite, to life in fun and captivating ways.

A founding member and advocate of Product Marketing Alliance (PMA), Ankita has dabbled in brand and digital marketing and loves to hone her storytelling skills in her free time

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