Data Analytics help to eliminate and reduce data challenges faced by government agencies and private sector companies. In many businesses, data quality and data inconsistencies are the major issue on day-to-day operations and puts businesses in major risk.
Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. Data is extracted and categorize to identify and analyze behavioral data and patterns, and techniques vary according to organizational requirements
M-Square help and turns data into information that inspires understanding and reduces the manual manipulation of reports. We can empower analysts with user-driven Business Discovery capabilities that enable them quickly and easily explore data in a natural way. Our team can help and support to develop aggregating and analyzing high volumes of data from multiple disparate sources to see the big picture and make better decision to support your mission in the business.
Why data analysis is needed on time to time?
- Exploratory data analysis (EDA), where new features in the data are discovered, and
- Confirmatory data analysis (CDA), where existing hypotheses are proven true or false.
- Qualitative data analysis (QDA) is used in the social sciences to draw conclusions from non-numerical data like words, photographs or video.
M-Square can support your team to transform large data sets into actionable information in an easy-to-understand format to support organizational decision-making through the use of advanced analytical tools. We help our customers to manage the quality, security, and privacy of data relevant to an organization to enhance its value. Our team can provide support in data analytical projects to ensure delivery of a successful data analytics initiative throughout its life cycle.
M-Square can be a part of your team to assess alternative approaches and infrastructures for implementing big data analytics and to evaluate the appropriate methods and tools for data analysis in specific organizational contexts, including selecting a modeling approach, building a model using appropriate tools, validating the model, and deploying the model for prediction and analysis.
M-Square can support your data mining process to organize and employ information and knowledge from databases, Statistical sources, and other legacy systems. We can also automate and look for patterns, identification of data, transformation to common format, and evaluate data during the process.
Our team can help to answer your questions in data analytics, we have extensive experience in data analytics implementation. Please call us at 212-941-6000 for questions and support.