banner

Topics

Benefits of Cloud Data Analytics

Data discovery is an important part of the data landscape and understanding your company's data is crucial for progress and innovation. In this, data discovery is an important step. Read more on data discovery.

| 20 Dec 2021

5 Best Data Analytics Trends and Predictions to Watch in 2022

What will data analytics look like in 2022? What predictions and trends can we expect in data analytics? Our data scientists analyzed the patterns, and this is what they forecast for the new year (in no particular order).

| 13 Dec 2021

Role of Customer Data Platforms in A Post Third Party Cookie World

The world is marching towards an era where there shall beno more 3rd-party cookies. In such a world, a customer data platform will play an even more critical role in tracking a customer's journey. The right CDP should be able to aggregate and utilize both first and zero-party data to create real-time, personalized profiles of your customers and prospects, enabling your business to meet them where and when they (customers) want to be met.

| 06 Dec 2021

Event-Driven Analytics: What You Need to Know

Successful businesses have increased, and more and more operations are becoming both intelligent and efficient. Businesses are increasingly able to use data to make effective and practical decisions. Event-driven analytics can improve efficiency for businesses. This form of analytics is used to detect financial frauds, to halt zero-day attack, and to track the movement of stocks.

| 16 Nov 2021

Everything You Need to Know About Time Series Analysis – A Primer

Is there a way of knowing when a commodity's price has increased? Yes, one can compare the price of a commodity over a period of time. In time series, observations are arranged according to successive periods. A time series is an arrangement of data according to their time of occurrence. Using time as a reference point here is a way of relating the whole phenomenon to appropriate points in time, where time is measured in days, months, or even years.

| 09 Nov 2021

12 Proactive Strategies to Reduce Customer Churn Rate

For businesses, high churn rates and retaining customers are huge challenges. Churn can be reduced by identifying and addressing the reasons customers leave. Another strategy is to work with customers who are about to leave to understand why, and so be proactive in reducing churn. As part of this post, we examine the causes of high churn as well as strategies available for dealing with it.

| 25 Oct 2021

How can Attribution Models Improve Your Online Marketing?

The attribution model identifies how credit is assigned to touchpoints within the customer journey that lead to conversions for sales and conversions. In data analytics, for instance, the last interaction model gives 100% credit to the last touch points. immediately before a sale. By contrast, first interaction models give 100% credit to touchpoints that lead to conversions. The benefits of marketing attribution includes optimized marketing spend, increased personalization and improved RoI.

| 13 Oct 2021

Role of Prescriptive Analytics in Business Decision Making

Taking a systematic approach to analytics is one of the most important skills any large business should develop. Making the right decisions can be challenging for businessmen, especially if there is limited data available to support the decision. But there are technologies, tools, and techniques that can assist in this process. By analyzing historical data and aggregating it, predictive analytics can forecast future outcomes. It is often referred to as the "proactive component" of data analytics. Nevertheless, there is another technique that is being adopted nowadays by businesses as part of their decision-making process, and that is prescriptive analytics. It provides recommendations or insights that will allow business leaders to make better, quicker decisions in order to maximize the value of their data.

| 08 Oct 2021

The Complete Guide to Understanding Data Reporting

Raw data needs to be processed and presented in order to make use of the data. The collected information is stored in databases, but it must be processed to extract its value. Data reporting, not to be confused with data analytics, involves the use of various tools to define and store data, as well as the monitoring of trends, the collection process, and overall performance.

| 10 Sep 2021