Turn your data into actionable insights.
With over 125 clients, and a history of hundreds of successful projects, our work all began—and all continues—with our strategic services.
- Readiness Assessment and Conceptualization
- Roadmap and Architecture
- Tool Selection/Evaluation
- Proof of Concept (POC)
- Education & Training
- Maturity Assessment
DataFactZ analytics experts are revolutionizing evidence-based decision-making for our clients. Out of the many trending technologies available, DataFactZ will guide you towards the right strategy with in-depth analyses to ensure that our solutions complement your existing DW/BI investments.
We can assemble, prepare and visualize your company’s diverse data, giving you greater insight into your performance and enabling you to make better-informed decisions.
Learn more about our different analytics services
Data-led Transformation helps you create operational efficiencies to support growth, create sustainability for long-term requirements, and differentiate your organization with new technologies that will continuously meet your business needs.
DataFactZ helps you create a data-driven migration plan that harnesses AI, and intelligent data to create a cross-functional data platform that connects your business through the cloud providing a single source of accurate data and business insights. We are here to support your transition!
DataFactZ offers meaningful analytics and insights for the following types of businesses: Healthcare, Finances, Customer, Manufacturing, Assets, Supply Chain, Transportation & Logistics. HR, Sales & Products, and many more.
DataFactZ has experience in the following types of services: Analytics as a Service (AaaS), Managed Data Analysis, Data Analytics consulting, Data Analytics Implementation, Data Analytics Modernization and Data Management Services.
The main types of Data Analytics Solutions are: Data Integration and Data Warehousing, Self-Service BI, Data Visualization, Data Science and Big Data. DataFactZ has experience in all these types of solutions and we’re ready to help you implement them!
Business analytics is a broad term that can differ from industry to industry. Data analytics are often used to improve financial stability, forecast demand, increase productivity, create marketing strategies, increase sales and data visualization.
The Four types of business analytics are:
- Descriptive Analytics, uses raw data to show the impact of past actions, without additional meaning or insight.
- Diagnostic Analytics, is investigative and uses data to determine what are the main drivers of past events or outcomes.
- Predictive Analytics, determines the probable outcome of certain decisions or actions.
- Prescriptive Analytics, uses tools like machine learning to create plans that are likely to have good outcomes.
Data analytics is multifaceted in its business use. Data can be leveraged to detect anomalies, negate risk, manage customer data, research, detect fraud, and analyze operations.
Predictive analytics is a way that businesses use data to analyze the likelihood of certain outcomes. This is done through the use of historical data, current data, statistics and machine learning. There are many business functions for predictive analysis including fraud detection, manufacturing, pricing and customer relationship management.
Prescriptive analysis can only be done when a problem that needs solving has been identified. Once a problem has been identified an algorithm will use data to identify where the problem is occurring from so your company can make a decision on how to proceed. The accuracy of the recommendation will be based on having good data and can be customized to specific situations.