Data Analytics to Aid Business Growth: Here’s How

November 26, 2020

Data analytics is the science of analyzing raw data. Data analytical services need to utilize high-quality data sources using technology to gather a wide range of data points. There are various statistical research methods and defined metrics to gain insights into the trends and underlying usable information.

These analysis reports help companies to understand their customers better and create strategies not only related to content but also related to marketing, production, and product development. Ultimately, data analytics helps to improve performance and boost business growth.

How Data is Utilized?

Irrespective of the industry you are operating in or the size of your business, data analysis will have an impact on every business in several ways. Based on content strategies, business ad campaigns are developed to help businesses boost sales. Data analysis discovers the needs of the target audience and manufacturers can improve production processes and supply chain efficiency.

This blog will cover the essential data management solutions that will help a business to draw benefits from its investments in analytics. It’ll cover the following domains in analytics that are very relevant for businesses:

  • Data from disparate sources
  • Customer behaviour and patterns
  • Real-time KPI monitoring
  • Latest and relevant information
  1. Data from disparate sources

Data analytics consulting companies integrate various databases to extract information. Disparate data is one of them. It is a challenge to integrate disparate data from various sources as it is heterogeneous and is collected from more than just standard sources.

Data from different sources create hurdles to merge or integrate with one another in their present state. But data analytics helps to correlate factors and detect hidden patterns.

  1. Customer behaviour and patterns

Companies use data reports to improve their products and customer experience.  They can find out the customer behaviour and patterns using the high variability of data formats.

  1. Real-time KPI monitoring

Key Performance Indicators (KPIs) help to monitor the performance of service desks in real-time. Reports are generated automatically based on call categories, Departments, Customers, etc.

Management reports are published to specific parties regularly that enable them to recognize the areas to be improved. The KPI monitor ensures that the highest level of service is being provided to meet professional and Service Level Agreement (SLA) targets.

It has the potential to improve internal efficiency as companies can track employees’ performance, optimize delivery routes, and even can recruit top talent. Companies use sensors to track employee stress levels, health, and tone of voice as well.

  1. Latest and relevant information

Changes are inevitable in businesses. Data analytics is not a one-time task. You will need the latest and relevant information ultimately. Data tells a lot about a company, like the quantity and diversity you are increasing every year. The latest information helps to know what customers need, what they will use, which buying channel is used mostly to buy products.

Steps Involved in Data Analysis

Determine the data requirements: Data is stored by age, demographic, income, and gender. Analysts determine the right category of data to process.

Process of data collection: There are different sources to collect data such as online sources, environmental sources, cameras, or through personnel.

Data Organization: Various softwares are used to organize data so that it can be analyzed better.

Filtration of data: This is an important step before data goes to a data analyst as it helps rectify any errors.

Data Deficiency Ails Businesses

Many businesses are still unaware of the fact that they need data or have existing data that can be used to gain insights into consumer behavior. All businesses need to build avenues for collecting data on consumer’s thought processes at every step of the sales process, engagement, and post-sales process. But, unfortunately, this is still unfamiliar territory for small and medium businesses as they wrongly presume that data analytics is not meant for them.

Besides ensuring proper market research, businesses should also focus on data crunching and analytics which are the dire needs of the hour. Considering the diversity of products and services, data analytics can be utilized to break into the minds of the niche customer segment.

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