AI, Data and Analytics
Engineering a Data-Driven Business
Big data unlocks hidden opportunities and insight. Data and analytics are at the core of an organization’s efforts to transform into a digital enterprise. The resurgence of analytics is driven by the availability of data in high volume, variety, and velocity, coupled with commoditization of sophisticated data processing algorithms. This enterprise-wide disruption is further fueled by ubiquitous access to cheap computing power and the availability of tools and technologies to integrate the results of analytics into complex business processes.
Mentis’s experience, and exposure to both Independent Software Vendors (ISVs) and enterprise-level analytics tools, enable us to help our customers turn Big Data into intelligent insights through our customized services. Our experts deliver big data and analytics services to help you strengthen your IT foundation and realize new possibilities that enable accelerated growth.
What We Do
Mentis helps organizations to improve operational efficiency and lower risk with enterprise data solutions. From predicting market outcomes to better understanding consumer patterns, we help both ISVs and enterprises develop their products and services that transform this Big Data into usable business insights, which enables smarter business decisions, more engaging customer lifecycle and user experiences.
Enterprise Master Data Management (MDM) Services
It includes the following:
- Data governance: Defining and managing data policies and procedures for classifying, organizing, and communicating complex activities around decisions. Also, acting based on enterprise data.
- Master data management: Analyzing existing data management processes and developing best practices for handling data inside and outside the organization.
- Data quality management: Creating tools and processes to assess, manage, control, and improve the accuracy, completeness, validity, and quality of data across the enterprise.
- Data architecture assessment: Analyzing the existing data environment and developing guidelines that address operational data stores, data warehouse and data mart implementations.
- Data integration: Analyzing existing data integration processes and developing guidelines that cover how data is collected, combined, transformed, and stored.
- Metadata management: Developing guidelines that cover handling data definitions and information about data.
- Data security: Analyzing existing data security processes and developing best practices to improve data content protection and security during transmission.
Data Engineering Services
Our services provide an effective bridge between data science models and production systems. Our data engineers are responsible for every aspect of data management, ranging from data storage and data preparation to implementing machine learning and computational algorithms at scale. As such, the data engineering services teams act as merchants of data.
Data Visualization Services
Advanced data visualization delivers much more than traditional enterprise reporting. It pulls insight from the mass of data your business generates, every second from the volume, variety and velocity of big data coming into your organization is now reaching unprecedented levels. This impressive growth means that not only must you understand big data to decipher the information that truly counts, you must also understand the possibilities of what you can do with it.
Mentis’s Data Visualization services helps companies elevate data driven decision -making processes for business executives, software engineers, data scientists and researchers. This broad experience helps us discover the disparate data relationships within our clients’ data including uncover important data, faster and more easily. We use innovative tools and approaches such as information dashboards, mobile business intelligence (BI), self-service capabilities, data discovery and interactive data visualization to pull the real value out of data silos.
