WE HELP BUSINESSES TO USE DATA TO MAKE BETTER DECISIONS, TO TRANSFORM ORGANIZATIONS, AND TO BUILD AND SUSTAIN COMPETITIVE ADVANTAGE
MagAnalytics specializes in providing a wide range of advanced consulting services covering Predictive and Prescriptive Analytics. Using advanced analytics methodologies, we turn information into knowledge, knowledge into strategic insight, and insight into actions that helps our clients make better business decisions. Furthermore, pairing predictive and prescriptive analytics, we generate powerful decision-making insights that give you a competitive edge.
Analytics is of critical importance for any organization’s roadmap. Regardless of your analytics maturity level, we deliver meaningful solution to your business problem and ensure that your organization makes decisions faster.
Gartner developed the Analytics Maturity Framework which provides data and analytics leaders a tool to identify the level of analytics initiatives development within their organization.
The Analytics Maturity Framework moves the focus from Descriptive analytics to more advanced analytics (Predictive and Prescriptive). In this realm the business impact is more tangible and therefore the business value increases.
The framework shows the evolution of analytics across stages as following questions answered: what happened, why did it happen, what will happen, how can we make it happen.
Turning Data into Knowledge
Turning Knowledge into Insights
Turning Insights into Decisions
Most businesses start with descriptive analytics – the use of data to figure out what happened in the past. Descriptive analytics prepares and analyzes historical data and identifies patterns from samples for reporting of trends.
“Why did it happen?”
It is the analysis of current and historical data to identify know why some events occurred. Diagnostic analytics takes a deeper dive in data to attempt to understand the causes of events and behaviors, identify correlations, and build and test hypothesis.
"What will happen?"
Predictive analytics is used by businesses to study historical data to make predictions about future events. We use wide range of model based and algorithmic machine learning methods to predict the likelihood of future outcomes, identify factors that impact the outcomes, and discover patterns in the data. more
"How can we make it happen?"
Knowing what might happen is no longer enough to keep your organization competitive. Prescriptive analytics goes beyond predictive models to prescribe the best course of action to increase the chances of realizing the best outcome. Techniques such as optimization and simulation reside in this space. more
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