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What is data analytics?

Data analytics is a process of inspecting, cleansing, transforming and modeling data in order to discover useful information that helps with decision making.

Most of these methods have been automated to reduce the likelihood of missing out on useful information that will bring about change in the business. It also includes algorithms that function using raw data for human consumption.

Data analytics has remained relevant because it reveals information that would have likely been lost in the huge mass of findings.

This is used in both traditional and businesses that use advanced technology. With advanced technology businesses, you can feed information and get results almost immediately as compared to traditional business intelligence solutions that produce slower and less efficient results.

It’s important to realize that in the past, businesses would only use Data Analytics to uncover and make decisions about future endeavors in business. With today’s technology, businesses can use data analytics to affect decisions that are present and immediate. This in itself reflects the evolution that data analytics has gone through from using spreadsheets and punching in numbers to tools that are automated and need little human input.

Who data analytics is for?

Types of data analytics

Data Analytics doesn’t come in a one size fits all format. It’s a broad term that sees the division of data analytics into different segments. Each of these segments has a unique place and works to accomplish different goals in the data analytics field.

Being the most common out of all the others, descriptive analytics answers the question, “What has happened?” in business. A typical example of this is a profit and loss statement created monthly.

In the words of Dr. Michael Wu, “This is the simplest class of analytics. One that allows you to condense big data into smaller, more useful nuggets of information.’’ Analysts usually have data on a small percentage of their customers. This information can be as thoroughly specific such a detailing the number of customers own a red jeep. Visualization tools make this process even more effective and enhances the descriptive aspect of it.

This particular one seeks to respond to the question, “Why is it happening?’’. It is usually used after descriptive analytics to solve any problems that might have been highlighted. It comes with tools that are used to drill down the main root of the problem and isolate it

Dr. Micheal Wu says, “Predictive analytics can only forecast what might happen in the future because all predictive analytics are probabilistic in nature.” In other words, this kind seeks to respond to the question, “What is likely to happen?”.

It’s clearly all about forecasting and predicting at which point in the future will a certain event happen in quantifiable amounts. In a world of uncertainty, it’s essential to have the tools that make things a bit more clearer. This is an important type of analytics that is used in various fields.

Prescriptive is largely about simulation and optimization. It answers the question, “What do I need to do?”  It makes use of an understanding of ‘what has happened’ and ‘what will happen’ to bring about a resolution on what needs to be done.

This involves a number of actions that ensure that things work out as needed. A typical example of this would be an academic institution creating an examination timetable that won’t clash the students’ cycles.

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What is the role of data analytics?

Data analysts are joining bridges between business, information technology, and statistics. All these factors are meant to help businesses succeed faster than they would in the absence of data analytics

According to Masters in Data Science – “The primary steps in the data analytics process are data mining, data management, statistical analysis, and data presentation.

Data Analytics is also important in the following:

Storing large (and important) amounts of information can cost a fortune but data analytics makes it centralized and cost-effective.

Evidently tools such as in-memory analytics speed up decisions and their quality as well.

Due to the specificity of the data, consumers receive the exact type of products and service that is relevant and useful to them.

Prescriptive is largely about simulation and optimization. It answers the question, “What do I need to do?”  It makes use of an understanding of ‘what has happened’ and ‘what will happen’ to bring about a resolution on what needs to be done.

This involves a number of actions that ensure that things work out as needed. A typical example of this would be an academic institution creating an examination timetable that won’t clash the students’ cycles.

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Why 011 digital data Analytics?

  • 011 digital data analytics helps you make better decisions
  • 011 digital data analytics transforms your business.
  • 011 digital data analytics helps you make them faster decisions
  • 011 digital data analytics assists you in personalizing your products and services for your customers
  • 011 digital data analytics boosts your sales
  • 011 digital data analytics results in high ROI
  • 011 digital data analytics helps you survive the changes that are taking place every second in this new data-driven world
  • 011 digital data analytics helps you have an edge over your competitors
  • 011 digital data analytics helps you predict how the preferences of customers will change
  • 011 digital data analytics help you save lots of time and money

011 Digital helps you to develop a data management strategy that can assist in smoothening your business journey.

You’re probably thinking, “This seems like an IT business problem and solution”

Here’s how you’re very wrong.

Every business at this point, regardless of size and functionality, must be a data business in order to have a competitive advantage in a much smarter world. In order to avoid drowning in a huge mass of data, a smart strategy needs to be laid out. At 011 Digital, our team of experts is available to help you assess the key challenges and problems in your business. This will help us to connect you to the correct type of data analytics suitable for your business needs.

The data strategies you’ve positioned in sales and marketing just won’t cut it in the same way data analytics will. Indefinitely, all businesses need a company-wide data plan, which our team of talent can set up for you.

According to Bernard Marr, only the businesses that view data as a strategic asset and develop robust data and analytics strategies are the ones that will succeed in this new data-driven world.

011 digital Testimonials

Natasha
Natasha
@ecotelIsp
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Believe it or not. 011 digital over marketed us. In a way that we failed to manage the traffic 011 digital was sending to our site. Out of 10 emails we managed to reply only to 1. The product was good but the company had no capacity to grow at the same rate with our marketing. And hellopeter.com was filled with bad reviews. As a result we had to close doors. I do recommend 011 digital as the best marketing company I have come across.
Tinus
Tinus
@calendaprinting
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We approached 011 digital in 2013. We were having around 15 clients who where giving us around R15 000 in profits which was not enough. As we wanted to grow our clientele basis. And profits. 011 digital managed to rank us first on our main keywords including "calendar printing". From 15 clients we went up to 67 clients including the foot brand Footgear. Our profits raised from R11 000 per month to 357 000 per month in 2 years. From October to January we are now making R3m on average in gross sales. All thanks to 011 digital.
Christian Lee
Christian Lee
@printingjet
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We were ranking around around 99. And our visibility was less than 1% in the printing industry. And now we are ranking 1st on almost every keyword in printing. I will forever grateful to 011 digital. And will always recommend you guys to my friends as long as they are not in printing.
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