“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” – Geoffrey Moore

Data Analytics refers to the abilities, technologies, practices for ceaseless iterative investigation and examination of past business performance to pick up insight and drive business planning.

Data Analytics centers around developing new insights and comprehension of business performance dependent on data and statistical techniques.

Conversely, customarily centers around utilizing a consistent set of measurements to both measure past performance and guide business arranging, which is likewise founded on data and statistical techniques.

How to use Data Analytics?

At Liqteq, we utilize our experience, knowledge, and extraordinary skills to provide Data Analytics solutions, services, and counseling. We provide customized data analytics so you can deal with your information effectively and proficiently for your business future. How?

Descriptive Analysis

Descriptive analysis provides basic expository information. It gains insights from historical data with reporting, scorecards, clustering etc.

Diagnostic Analysis

Diagnostic analysis helps in identifying why something happened. Queries and drill-downs authorize you to ask for more detail related to a report, which can help explain surprising values.

Predictive Analysis

Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events.

Prescriptive Analysis

Prescriptive analytics entails the application of mathematical and computational sciences and suggests decision options to take advantage of the results of descriptive and predictive analytics.

Advantages of Data Analytics:

Proactivity and predicting needs Data Analytics allow companies to understand their customers in a better way and they are able to form relevant interactions and provide a seamless experience to their customers.

Delivering relevant products Effective data collection combined with data analytics allow companies to assess future demand for current and upcoming technologies and products.

Personalization and service Big data analytics offers the opportunity to interact with customers on the basis of their personality traits. It does this by understanding customer behaviors and other factors such as real time location.

Risk Mitigation Data Analytics protect companies from frauds and default risks. Efficient and transparent reporting help companies in identifying the customers or partners who are more risky.


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