Data Analysis Tools:
Data analysis tools are softwares and programs that collect and analyze data about a business, its customers, its channel partners, and its competition in order to improve processes and help obtain insights to make the right decisions.
Some of the frequently used software tools are Excel, Power BI, Tableau ( Visualize your results in style ), R ( The programming language for exploratory data analysis ), Python( the programming language for machine learning ).
Data Analysis is the technique by which raw data is transformed into useful Statistics, Insights, and Explanations to make data-driven business decisions. Data Analysis has become a cornerstone of modern business operations. It is a difficult task to choose the best data analytics tools since no tool fits every requirement.
Data Analytics Solution:
Data Analytics is the systematic purposeful computational analysis of data or statistics. The purpose of data analysis is the discovery, interpretation, and conclusions obtained from data patterns toward meaningful and effective decision-making.
Finding a good solution by analyzing data is the sole objective of an organization. Our team at MBuild with clear knowhow, works with the following steps :
- Understanding Business or problem / objective of study
- Data Collection
- Data Cleaning
- Data Exploration and Hypothesis testing
- Data Visualisation
- Representation of Result
There are different types of analytics that business or organizations use to derive decision-making as per the problem under study. After getting fine details about the objective of the study, we work critically and give a specialized analysis of data as per the following specification details :
- Descriptive Analytics (to know what has already happened )
- Predictive Analytics ( to know what could happen )
- Prescriptive Analytics ( to know what should happen )
- Sentiment Analytics ( to know the mood of data values )
Every Business likes a good solution, MBuild gives the business solution with data.
We at MBuild are a dedicated group of professionals eagerly and consistently working for finding the best data interpretation solution for our Clients.
Big Data & AIML:
The term Big Data refers to huge, complex, and high-density datasets. Big Data can be explored and analyzed for information and insights. Big data analytics uses the technologies like AI and Machine Learning to analyze massive datasets with the objective of knowing patterns and developing actionable insights.
Artificial Intelligence (AI) means a set of technologies that enable computers to simulate human intelligence. Examples of AI are like directing virtual assistants like Alexa or Siri to perform tasks. AI also helps in exploring and analyzing unstructured data to gain clarity and understanding of many factors influencing your business.
Big data and AI have a combined operational relationship. Big data analytics uses AI for better data analysis solutions. Also, AI requires a huge scale of data to learn and improve decision–making processes. This is how Big Data and AI work together.