Most companies don’t lack data; it resides everywhere. You can find it in transactional databases, equipment log files, images, video, sensors, literally everywhere. Predictive analytics for leadership, or outcome based analytics, creates the insights leaders need to think more strategically. Data41 helps companies take their data analytics to the next level by answering important questions like:
Most leadership teams are unprepared to deal with linear and nonlinear regression, neural networks, support vector machines, decision trees, etc. Arming companies with predictive analytics for leadership requires knowledgeable assistance. Data41 empowers leadership, business users, engineers, and data scientists to access, process, and visualize essential data, evaluate outcome based analytics, and make fast, intelligent decisions.
Bring data stored throughout your organization in legacy systems and in different formats together.
Scrub data to produce high-quality, consistent, structured data for running business applications, forecasting, and for use and analysis by business managers in planning.
Use data from business process execution to visualize work-in-process and work completed in real-time to provide the necessary information for sound decision making.
Use AI & ML to quantify business difficulties in the context of your data, predict customer behavior and outcomes, and drive decisions and create better business strategies.
Innovative companies are investing in predictive analytics for leadership to refine and drive better business strategies. Highlighted below are just a few of the potential applications for AI and outcome based analytics across several major industries.
Whether you need a one-time consolidation or a lasting solution, our data expertise and partner’s software enable Data41 to take on your largest data aggregation and consolidation challenges.
Data41 connects all your data sources and extracts the data required data into a single, accurate source to support your data analytics.
Data41 supports industry standard encryption and security policies while fully complying with the General Data Protection Regulation (GDPR).
Data41’s teams of architects, designers, and developers have decades of experience, and our methodology, architecture, and outcome-based approach streamlines our implementations.
Data41’s team of specialists delivers your organization’s expertise to maintain analytical applications at economical rates, freeing your team to focus on more strategic initiatives.
Predictive modeling is the use of data to identify trends and patterns and forecast future events and drive more intelligent decision-making.
Examples of predictive modeling include sales and budget forecasting, identifying patterns for fraud and waste, and spotting production inefficiencies.
There are four types of modeling or analytics that businesses use to drive their decision making; diagnostic analytics, which tells us why something happened, descriptive analytics, which reveals what has already happened; predictive analytics, which illustrates what could happen; and finally, prescriptive analytics, which shows us what should happen.
According to the Statistical Analysis System Institute (SAS), predictive analytics models use big data, statistical algorithms, and machine learning techniques to predict the probability of future outcomes and trends based on historical data.