Decision Intelligence uses AI, machine learning and contextual information to unlock the power of a business’s most valuable asset, its data, by helping people make decisions over complex information faster, more consistently and more accurately than before. Decision intelligence goes beyond the traditional BI dashboard and translates AI models into valuable recommendations. Decision intelligence solutions can understand and apply business context, quantify the impact of competing business objectives, model different scenarios, and recommend the best strategies to meet enterprise objectives.
System automation reduces the reliance on human expertise and judgment (and eliminates bias) by automatically discovering relationships and patterns in the data. A decision intelligence system recommends what a decision-maker should do to address the situation identified in the automated analysis. Humans and technology work together to reduce the time from data to decision and accelerate a decision maker’s ability to take action.
BI systems were designed for historical reporting to answer pre-defined questions with traditional query analysis. Decision intelligence emerged from the combination of dashboard overload and the availability of valuable AI models designed for future-looking predictions or recommendations. Today, businesses need to move beyond BI dashboards to understand why metrics change and uncover recommendations that inform the best actions to take.
There are three key differences between Business Intelligence (BI) and Decision Intelligence (DI).
Diwo is an enterprise software company delivering decision intelligence (DI) solutions.
Diwo stands for “Data in, Wisdom Out”.
wis·dom (/ˈwizdəm/) noun
the soundness of an action or decision with regard to the application of experience, knowledge, and good judgment. E.g. “some questioned the wisdom of building the dam so close to an active volcano”
Our mission is to bridge the gap between analytic insight and action with decision intelligence (DI). Today, there is an explosion of data available to decision-makers. However, their ability to process and act on the insight is still limited. The “last mile of analytics” is complex and time-consuming to operationalize. It cannot keep up with the speed of business today and the more frequent need to decide and take action. Decision intelligence applies AI, machine learning and process automation to support decision-making “in the moment “ by automatically identifying opportunities, detailing the risks and trade-offs, and recommending the best actions to address them. With DI, it is now possible to accelerate the path from data to decision.
Diwo’s Decision Intelligence platform delivers timely, relevant insights that understand business context and decision intent. Our patented knowledge graph technology and algorithm provide AI throughout the platform. This helps you make sense of your data environment by automatically highlighting relevant insights, making recommendations and continually learning to improve future recommendations. With Diwo’s Decision Intelligence platform, decision-makers in your organization can access recommendations that help simplify complex decisions, schedule tasks, allocate scarce resources, understand trade-offs and help alleviate constraints that constantly change in the modern, digital era.
It is an early market for Decision Intelligence software. Gartner, Amalgam, Eckerson and other analysts predict that enterprises focused on ROI for their data and analytics activities will begin widespread implementation of DI tools over the next 24 months.
A handful of start-ups are emerging with more traditional BI platforms that focus on delivering insights rather than dashboards. But true decision intelligence leverages your existing data fabric, AI and machine learning models to generate deeper insights and better, more timely recommendations for action. As decision intelligence becomes pervasive and a core part of analytic processes, decisions will be made faster, easier and less expensively than before. As enterprises accumulate more data and increase their investments in decision intelligence, this technology will only grow in value. In two to three years, it may be hard to envision how we ever made decisions without it.
Diwo leverages AI and machine learning to augment human intelligence and enhance business decision-making. For an enterprise, this means highly optimized commercial decisions that can be made instantly and continuously and handle complexity beyond human cognition.
Diwo uses AI and machine learning to save time by automating more data analysis and delivering meaningful recommendations to a decision-maker as needed. The AI in the DI system is able to answer the “why” in your data and explain “how”it came to a recommendation. AI also helps to eliminate the costs of a wrong decision by eliminating human biases and errors. With Diwo, there is always a human in the loop – AI plays the role of digital advisor. This is how we harness the power of AI without displacing the vital role human judgment plays in the decision-making process.
Contextual intelligence helps bring the power of AI-powered analytics to life by making insight situationally relevant. It also helps provide the “why” behind each recommendation, giving decision-makers the information needed to make the best decision in the current circumstances.
Decision Intelligence combines context with analytics and AI and machine learning models to automate recommendations and surface relevant insights from data. Instead of sifting through numerous reports, dashboards, and spreadsheets looking for the right insight, the system delivers recommendations and relevant insights.
A decision intelligence platform enhances decision-making by providing insight, decision-making context and recommendations when and where the decision-maker needs them. Using decision intelligence, organizations can derive more value from their investments in data and machine learning models.
Diwo is for any company that realizes BI dashboards aren’t enough to make effective decisions and wants to evolve its capabilities beyond the limits of this toolset. We want to empower anyone in an organization, from front-office employees to business analysts, data scientists and senior executives, to accelerate time-to-decision and action. This can mean deciding which people to target for marketing campaigns, reacting to a supply chain shortage, product placement on a store shelf, or the effects of natural disaster.
Having a data fabric in place is a critical prerequisite to decision intelligence.
Decision intelligence platforms are consumption platforms – they ingest existing data and use your AI and machine learning models to produce contextual recommendations. Most organizations today have AI or machine learning models to support specific analytic goals. Popular tools include DataRobot, H2O.ai, Dataiku, SAS and increasingly AI and machine learning services from AWS, Google and Microsoft. Diwo’s Decision Intelligence platform can consume information from any of these vendors. Additionally, Diwo does not require changes to the models to leverage them within the platform itself.
Subject matter experts are also critical. It is essential to keep people with institutional knowledge involved in operationalizing your DI system to fine-tune AI. Despite its ability to supercharge analytics with automation, a DI system will benefit from a human to deliver the necessary continuous tuning and adjustment.
Yes! The key premise of Decision Intelligence is to use your data, and AI/ML models built on that data, to optimize business recommendations. The models themselves could either be built by your teams or by Diwo; we prefer to use existing models rather than build new ones.
Diwo embeds ML models and synthesizes their outputs to recommend the best next step for business decision-makers based on their business context. The models themselves could be built using any technology preferred by the data science team, such as R, Python, SAS, DataRobot, etc. By adding AI and machine learning, companies transform data dashboards and business analytics into more comprehensive decision support platforms.
Diwo is a Decision Intelligence platform, not an AutoML tool like DataRobot, H2O, or Dataiku. Diwo complements AutoML tools.
Typically, the predictions and forecasts coming out of these models end up in dashboards or reports, serving as mere insights. On the other hand, Diwo translates the predictions and forecasts into highly contextualized recommendations for each user. This further extends the value of your AI and machine learning models and helps accelerate decision-making.
Here are the keys to getting started with Decision Intelligence: