Data Analytics as a Services

The Internet and other modern communication technologies have led to an enormous production and availability of data, which can be transformed into concrete information. The field of expertise concerned with this is data science. Data analytics is a practical application of it. Data analytics has exploded among companies in recent years. It is applied to collect and analyze digital data about customers, own processes, and market data. The data analysis thus forms the basis for new knowledge, insights, and business strategies. Data analysis tools are increasingly and successfully applied in business. Business intelligence software is an example of this. There is now a lot of reporting software under a large number of names and concepts solutions and data visualization tools.

Methods of Data Analytics at E Cloud Optimum

There are a number of techniques for performing data analysis, and the methods we choose should, of course, match the nature and needs of your organization. These methods cover the full spectrum, from simple to complex, such as:

• Business Intelligence (BI): BI encompasses all technologies and strategies by which an organization collects and analyzes news, data and business information. In fact, BI uses software and other services to turn raw data into actionable and concrete insights that contribute to strategic decision-making, and it consist of reporting functionality, tools to identify clusters, support for data mining techniques, business performance management, predictive analysis.

• Reports will provide an overview of raw data and convert it into actionable information so that organizations gain insight into the performance of their business units. They can reveal changes, patterns and trends, or question the direction the company has taken. Sound reporting can have a huge impact on organizations and the measures they take to maximize their profits.

• OLAP: Using these powerful computing processes, users can quickly and easily collect and analyze multidimensional data from different perspectives. OLAP uses complex calculations, trend analysis, and advanced data modeling to determine budgets, analyze trends, forecast sales, and more. In short, it provides organizations with more knowledge and insight that they can use to strengthen their decision-making.

• Data mining Data: Mining sorts, examines and categorizes large amounts of data to identify irregularities, correlations and patterns. Data is collected and converted into an understandable and usable format, which is then used to calculate future trends and results. Data mining often looks beyond internal data and also takes into account external data sets, such as filtered news, company information or laws and regulations. This kind of comprehensive data mining helps companies solve problems and improve their decision-making.

• Predictive analytics: This enable organizations to use current and historical facts and figures to make predictions about unknown future situations. This advanced analytics uses a variety of techniques from data mining, statistics, machine learning, predictive modeling and artificial intelligence to make predictions, identify and assess risks, locate opportunities and support decision-making.

• Machine learning examines the algorithms and mathematical models that computer systems use to ensure that they perform certain, specific tasks better and better. This technology is based on the idea that systems can learn from data and information, discover patterns and make independent decisions.

Data analytics at different Industries

More and more companies are using data analytics. Often a team of data analysts within those companies is engaged full-time with analyzing company data and developing a well-founded strategy. The demand for data analysts is therefore high. If you do not have the right expertise yourself, you will have to use external data analysts. Data analysts must be able to work well with up-to-date business analytics tools from different software vendors. They must also be able to work with cloud platforms and databases. In addition, they must be able to write algorithms in various programming languages, have knowledge of statistics and know enough about the sector in which your company is active.

Data analytics with E Cloud Optimum as a Service

We at E Cloud Optimum will facilitate the analysis of your data and focus on the possible actions resulting from the insights delivered. Also, use all our industry experience to support driving business intelligence in your company to produce report ranges in the desired format, and with the desired detail. Our experts are top-notch to deliver ongoing communications to stay up-to-date with your business needs. Let our data analysts analyze your data, report findings, and provide recommendations to support your business decision-making process. Take advantage of shared processes and best practices that have yielded actionable insights from other customers.