Decision Making Tools

Make smart decisions

Real-time data analysis covers a wide range of applications ranging from sales to a whole host of other criteria such as billable time, conversion rate per customer journey touchpoint, overall sales team results. With the right tool, you could easily tell what needs to be improved and/or optimized and make much better informed decisions.

Outils d'aide à la decision, maîtriser ses processus métier grâce aux données

Data-empowered industry-specific processes

Leveraging data efficiently can help organize and optimize the process workflow and even predict the production estimates of the supply chain. This is why having the right management tools and solutions is pivotal in order to identify and capture the purchase behavior trends of consumers and provide personal customer experiences and journeys.
Real-time data can also provide insights on the overall operations and cash flow and help guard against any unpleasant surprises.

Outils d'aide à la decision, transformez le processus décisionnelologies du big data

Transforming your decision making process – Big Data / Data Mining

Innovative storage solutions such as cloud computing, combined with software that uses sophisticated computer algorithms, enable these large volumes of digital data to be analyzed. These tools are designed to capture and correlate relevant information. One of the current challenges of Data Mining, i.e., the analysis of all this collected data, is the development of complex tools to process and better visualize, analyze and catalogue the enormous flows of data.

Big Data Technologies

predictive analysis

When deploying Predictive Analytics Models data can be processed, assessed and optimized to ensure deep data analysis. Predictive analytics technologies reduce risk while increasing the potential brought forth by Big data mining.

Internet of things (IoT)

The Internet of Things is already an essential component of Big Data. More and more companies are investing time and capital in the Internet of Things to get the information they need seamlessly. It is therefore certain that the analyses of the data collected by sensors will continue to support decision making processes in companies across all industries.


In the area of Big Data, Machine Learning will enable large volumes of complex data to be analyzed more quickly and accurately. Improved hardware and algorithms will also improve the results. This technology will help companies in developing fraud detection solutions, real-time advertising and much more.


Artificial intelligence makes it possible to better manage security breaches. Because of this technology, machines can better understand human psychology and therefore effectively protect data.


Azure Data Lake Analytics is a parallel on-demand job service. The parallel processing system is based on the Microsoft Dryad solution. Data Lake Analytics provides a distributed infrastructure that can dynamically allocate or de-allocate resources so customers pay for only the services they use.

power bi

Power BI provides cloud-based BI services, known as “Power BI Services”. It offers data warehouse capabilities including data preparation, data discovery and interactive dashboards. Power BI is also embedded on Microsoft’s Azure cloud platform with custom visualizations made easy.

Why Prodware

We have been around for 30 years and have acquired the expertise and experience in helping businesses drive transformation projects. We develop and deploy industry-specific solutions based on Microsoft technology. Our expertise in disruptive technologies and innovation help us provide the solutions and services you need to meet the challenges of your industry while gaining that sustainable competitive edge for your business.

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