What is data analytics?
Data Analytics is about understanding your data and using that knowledge to drive action. It shows the trends and outliers within the data that would otherwise be difficult to notice. It is a scientific method to turn raw data into information that supports difficult decisions.
There are a number of statistical tools and software available for data analysis. The nature of the data and the problem that needs to be solved with the help of the findings from the data determine the choice of statistical tools and techniques. Domain knowledge and knowledge are also very important for the interpretation and application of the results of the analysis.
In our experience, the best data analysts are those who have the ability to dig into the data, but can also incorporate their common sense and domain knowledge.
into their recommendations.
What can analytics do for my business?
Companies use analytics to make informed decisions and plan ahead. It helps companies to discover opportunities that are only visible through an analytical lens. Analytics helps companies to decode trends, patterns, and relationships in data to explain, predict, and respond to a market phenomenon. It helps to answer the following questions:
What is happening and what will happen?
Why is it happening?
What is the best strategy to address it?
Collecting large amounts of data across business functions from internal and external sources is simple and easy using today’s advanced technologies. The real challenge begins when companies struggle to draw meaningful conclusions from these data to plan for their future. By using analytical tools, companies can improve their processes, increase profitability, reduce operating expenses and maintain their long-term competitive advantage.
What do analytics projects or engagements look like?
A typical analytics project or engagement is generally divided into the following four stages:
Stage 1 – ‘Research’ where the analyst helps to identify and understand the problems and issues that the business is facing or would be encountering in the future. At this step there is significant interaction between the management team and analysts.
Stage 2 – ‘Plan’ where the analyst helps decide what type of data is required, sources from which the data is to be procured, how the data needs to be prepared for use and what methods to be used for analysis.
Stage 3 – ‘Execute’ where the analyst explores and analyzes data from various angles. The analysis paves way to interesting results that are shared with the management. Based on these results, strategies are formulated to tackle the problems identified in stage 1.
Stage 4 – ‘Evaluate’ where the analyst measures the results of the strategies formulated and executed. This stage helps learn and revise future strategies and processes.
What does a good business strategy using analytics look like?
A strategy built using analytics is a set of simple implementable recommendations that efficiently uses the information drawn from the data. An effective and efficient strategy suggests best use of the available business resources.
It helps to find solutions for some of the biggest problems faced by the company. The process followed to formulate the strategy might be complex, but the final result is actionable and useful for management.
How much does data analytics costs?
For analytical reasons, a company may decide to use data analysis software such as SAS, SPSS, etc., and languages ??such as R, Python, and so on. In addition, you can contact individual consulting companies such as ETAIOTA or even create data analysis functions internally. Nowadays, companies even use a combination of the above. Each of the above options has its own advantages and disadvantages. An organization needs to find out which option best suits their analytical needs, depending on the nature of their business and the resources available. The costs associated with these options are rarely the same for two organizations.
Are there additional costs?
Code Changes: Preparing for Tomorrow
Performance has become a crucial factor in today’s competitive space, with consumers looking for the optimal user experience. With an average of 75 services running on a typical application today, you may be looking at over 200 code changes at any given time. When left un-monitored, these changes can affect the performance metrics without your knowledge.
What about Refunds?
Refund request is completely subject to realization.
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Can I change Plans or cancel at any time?
Change of Plans
Yes. You can change plans at any time during the process and additional costs will be charged for the same.
Yes. You can cancel it at any time and for such cases all refunds are subject to realization.
What are the things included in your service?
Additional things included in Our Service
Additional things included in our services are Data Security, Data Privacy, 24/7 Support, Quality Performance, In-time Delivery etc.