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
Whether you require new development, enhancements or support, DataFactZ simply becomes your extended analytics workforce.
Our experts can help assess and analyze your organization’s BI needs and recommend an appropriate solution that makes the most business sense, still balancing cost and delivering ROI for your BI investment. DataFactZ’s BI development capabilities cover the complete spectrum, including data integration, analysis, reporting and analytical applications. We have a depth of knowledge and experience to design, develop, and implement BI projects right, gathering requirements for current or future business objectives.
Experience working on more than 1000+ BI/EDW development projects across various industries.
150+ application migrations from one technology to another.
On-site, onshore and offshore development model with offices in Northville, MI and Hyderabad, India.
We thrive on being able to help companies surface the smallest of details without missing the big picture. Our experts create data and analytics solutions with scalability always in mind, striving to deliver maximum insightful information to our clients.
DataFactZ is a technology partner with all major Business Intelligence Software providers.
The greatest insights are of little business value unless communicated effectively. Effective Dataviz is like a map: pretty useful when you’re lost in data.
More than graphs and charts, more than tech considerations, defining the question to be answered and the narrative that will effectively connect, inform, and build trust is key to any data visualization challenge. Many companies will recognize that becoming “data-driven” requires skilled developers and analysts, but without bridging the gap between data and consumption, execution falls short.
Data story-telling has become even more crucial with the advent of self-service BI, combining explorative data visualization with narrative techniques to deliver insights in a compelling form.
From concept and mock-ups to delivery, our focus is personalized usability—intuitive interfaces that are actionable by the end user to maximize adoption and ROI.
- Machine Learning and Deep Learning
- Statistical Modeling
- NLP and NLG
- Computer Vision
- Text Mining and Sentiment Analysis
- Feature Engineering
- Model Performance Assessments
- Model Monitoring and Recalibration
- Production Deployment of Machine Learning Pipelines
Our data science solutions enable your organization to become truly data-driven.
With successful executions across various domains including financial services, retail and health care, our associates are equipped to join industry best practices with your organization’s potential.
Expertise to find the answers
Enterprises whose BI ecosystems have thousands of users from multiple LOBs often face challenges in tracking BI adoption and better ROI.
What are the benefits of Data-led Transformation?
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.
Why work with DataFactZ?
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!
What types of data does DataFactZ work with?
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.
With what Data Analytics Services does DataFactZ have experience in?
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.
What are the types of Data Analytics Solutions?
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!
What are examples of business analytics?
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.
What are the 4 main types of business analytics?
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.
How is data analytics used in business?
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.
What is predictive analytics and where is it used?
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.
How is prescriptive analytics done?
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.