Introducing Mega-Net AnalyticsMega-Net Analytics is a data analysis and services consulting company dedicated to helping clients turn raw data into actionable, understandable information for better decision making. With over a decade of experience in data analytics and providing actionable insights and reports. We guide our clients to a solution that enhances business modelling enabling better analysis and insight into their data. We believe that the power of technology combined with best practices will give client the ability to make fact based decisions.Mega-Net Analytics was formed by a diverse team of machine learning practitioners, analysts, consultants, medical professionals, and industry leaders with many years of experience. Our combined expertise in manufacturing, consumer products, telecommunications, healthcare, financial services, and energy verticals bring a powerful and unique value proposition to our clients.
- Mega-Net Analytics strive to help companies perform better, faster, more advanced analytics that will help them understand critical business and marketplace drivers. Every company has unique analytical needs and our mission is to provide every client with the best solution. To fulfil that mission we provide the following services. All of these services are offered with Mega-Net Analytics project methodology and best practices:
- Data Collection
- Data Warehousing
- Data Analysis & Visualization
- Streaming Analysis
- Healthcare Data Analytics
- Business Intelligence Solutions
- Risk Analysis
Data CollectionMega-Net Analytics engages in the process of gathering quantitative and qualitative information on specific variables with the aim of evaluating outcomes or gleaning actionable insights. Good data collection requires a clear process to ensure the data you collect is clean, consistent, and reliable. It involves taking stock of the objectives, identifying the data requirements, deciding on a method of data collection, and finally organizing a data collection plan that synthesizes the most important aspects of the program.
Data WarehousingWe collect and manage data from varied sources to provide meaningful business insights. A Data warehouse is typically used to connect and analyze business data from heterogeneous sources. The data warehouse is the core of the Business Intelligence system which is built for data analysis and reporting. It is a blend of technologies and components which aids the strategic use of data. It is electronic storage of a large amount of information by a business which is designed for query and analysis instead of transaction processing. It is a process of transforming data into information and making it available to users in a timely manner to make a difference.
Data Analysis & VisualizationWe are well versed in the method of Data Analysis and Visualization. We engage in the process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. We use data visualization tools to provide an accessible way to see and understand trends, outliers and patterns in data to create visual elements like charts, graphs, and maps to present graphical representation of information and data. In the world of Big Data, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions.
Streaming (Real-Time) AnalyticsStream analysis is also known as event stream processing. We analyse huge pools of current and “in-motion” data through the use of continuous queries, called event streams. These streams are triggered by a specific event that happens as a direct result of an action or set of actions, like a financial transaction, equipment failure, a social post or a website click or some other measurable activity. The data can originate from Transactions, Cloud-based Applications, Web Interactions, Mobile Devices, Internet of Things (IoT) and Machine Sensors. By using streaming analytics platforms organizations can extract business value from data in motion just like traditional analytics tools would allow them to do with data at rest. Real-time streaming analytics help a range of industries by spotting opportunities and risks.
Healthcare Data AnalyticsWe also specialize in healthcare data analytics where we process and analyze current and historical industry data to predict trends, improve outreach, and even better manage the spread of diseases. It broad range of businesses and offers insights on both the macro and micro level. It can reveal paths to improvement in patient care quality, clinical data, diagnosis, and business management. When combined with business intelligence suites and data visualization tools, healthcare analytics help managers operate better by providing real-time information that can support decisions and deliver actionable insights.
Business Intelligence SolutionsWe use technology-driven process to analyze data and deliver actionable information that helps executives, managers and workers make informed business decisions. As part of the Business Intelligence process, we collect data from internal IT systems and external sources, prepare it for analysis, run queries against the data and create data visualizations, our Business Intelligence dashboards and reports make the analytics results available to business users for operational decision-making and strategic planning. Our procedural and technical infrastructure collects, stores, and analyzes the data produced by a company's activities. It encompasses data mining, process analysis, performance benchmarking, and descriptive analytics. The ultimate goal of our Business Intelligence initiatives is to drive better business decisions that enable organizations to increase revenue, improve operational efficiency and gain competitive advantages over business rivals. To achieve that goal, our Business Intelligence Solution incorporates a combination of analytics, data management and reporting tools, plus various methodologies for managing and analyzing data.
Risk AnalysisWe analyse and identify potential issues that could negatively impact key business initiatives or projects. Assessing the likelihood of an adverse event occurring. This process is done in order to help organizations avoid or mitigate those risks. We study the underlying uncertainty of a given course of action. For instance, the uncertainty of forecasted cash flow streams, the variance of portfolio or stock returns, the probability of a project's success or failure, and possible future economic states. All firms and individuals face certain risks; without risk, rewards are less likely. The problem is that too much risk can lead to failure. Risk analysis allows a balance to be struck between reducing risk and taking risks.
ProjectsMega-Net Analytics has completed many successful Business Intelligence and Advanced Analytics projects. Where required, we have also provided maintenance and support after the projects have been completed. These projects are varied in size and complexity. Our specialists and project managers have significant experience in the design, construction, implementation, and maintenance of Data Analytics solutions. Our track record of successful delivery is built on more than 10-years of experience and a well-defined approach.