Data is crucial in today's business world. It makes all the difference in your business operations and growth. So, our key objective is to help startups and organizations to streamline operations in a digital world. Our data analysts prepare you for a data-led transformation that brings your best foot forward in the market. An inspired approach can drastically change your impact on business.
With our gamut of offerings, businesses can make more effective yet prompt decisions. They can eliminate guesswork from developing marketing plans, and determine specific data to make it work more efficiently.
While conducting the data analytics process, data is collected, organized, and cleaned. First, decide the data requirements, or how the data is grouped.
Data values may be numerical or divided by different categories. Analytics can be done through computers, online sources, cameras, environmental sources, and personnel.
Once the data is gathered, it should be organized for an accurate analysis. It can be placed on software or a spreadsheet that can take statists.
Once, the data is cleaned up, it should be scrubbed and checked. It ensures there is no duplicate data or error or incomplete data.
The last step is to correct the errors before it goes on to a data analyst.
The scalability is the main difference. Data analysis is the examination of data, whereas data analytics is about collecting, organizing, and storing data. Data analytics also include tools and strategies used to analyze data.
Descriptive analytics: It helps users with essential data insight into questions asked. This technique requires relevant data collection, processing, analysis, and visualization.
Diagnostic analytics: It is an advanced form of descriptive analytics that seeks to find the root cause of unexpected events. Users can take the data from descriptive analytics and explore more to find the cause.
Predictive analytics: It is a science of modeling, which uses historical data to accurately predict future events. The data sets are analyzed and a model is constructed to predict future outcomes.
Prescriptive analytics: Prescriptive Analytics can also be used by companies to create real-time recommendations on how to optimize their most important business decisions. For example, a company may use Prescriptive Analytics to determine the optimum inventory level given their current sales volume and product demands.
Data analytics is a constant process that helps businesses function regularly in a streamlined way. Once a data analytics solution is executed, it becomes easy to understand overall business analytics and solve challenges instantly. Businesses can proactively make informed decisions based on reports generated by data analytics. Thus, there is no special time to implement data analytics solutions.
We will analyze your business requirements, gain knowledge about possible objectives, and study various use cases and business goals. Thereafter we will connect the dots in your data. After assessing the data source, we will classify them to implement a quality evaluation of data. We will identify whether your data is accurate or consistent or not. Accordingly, we will generate reports and provide guidance on tools - KPIs - metrics to create a final analytics report. Up next, we start data modeling by using data from various sources. We will link them and create data models for reporting. And lastly, we provide technical support with relevant technology implementation, platforms to use, and much more.