FAQs on Data Analytics

1. What is Data Analytics?

Data analytics is the science of examining raw datasets in order to obtain an outcome regarding the information they hold. It allows us to identify patterns in the raw data and extract valuable information from them.

2. What are the types of data analytics?

The following are the four fundamental types of data analytics:

3. What is the Process of Data Analytics?

With an appropriate data analysis process and tools, what was once an overwhelming volume of diverse information becomes a precise, clear decision point.

4. What are the benefits of Data Analytics?

1. Improves Decision Making
Organizations might utilize the information they receive from data analytics to manage their decisions, pointing to enhanced results. Data analytics eliminates a lot of guesswork from developing marketing plans, determining what material to make, producing goods, and more.

5. When is the right time for me to deploy an analytics strategy?

Analytics is not just for once or for any special event, it is a continuous process. Businesses should not take their concentration off analytics and prepare to utilize it as a regular business function. Once businesses begin comprehending the potential analytics to resolve problems, they start using all kinds of strategic and general business decisions.

6. What kind of data points are needed for analysis and how do companies start capturing them?

Data is the most essential resource for any analytics project thus the business should make sure that it apprehends its business and customer data in a structured manner. To capture the right data points in the right format requires a long and short-term data strategy. This strategy depends on what the company is trying to achieve (e.g. Learn about the customer or product selling strategies, or customer journey, etc.) and how. It requires certain sophistication to build in data capturing techniques and technological support that will help us store and these data points in an understandable format.

7. What is Predictive Analytics?

Predictive analysis is how a business estimates historical data and past performance via analytical algorithms and machine learning techniques so that they predict, and project future outcomes. Businesses utilize predictive analytics to solve complex problems and reveal new opportunities.

8. How can Anblicks help businesses with data and analytical strategies?

At Anblicks, we help with:

  1. Assess your data source — Classifying and managing an assessment of all your business data sources.
  2. Implement a data quality evaluation — Recognizing any opportunities for data cleansing and start governance to assure the data is perfect, accurate, and consistent.
  3. Provide reports and artifacts — Presenting guidance on reporting tools KPIs and metrics as well as supporting with the creation of reports.
  4. Design Data integration/modeling — Using data from multiple sources to link and create data models for reporting.
  5. Enterprise analytics solutions — Providing support with platform and technology preference and implementation, as well as providing practical guidance on pre-built versus custom solutions.

Anblicks is committed to bringing value to various industries using CloudOps, Data Analytics, and Modern Apps.