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A Definitive Guide to Mobile App Analytics

Mobile app usage has grown manifold in recent years and it is expected to continue to grow significantly, thanks to the connectivity and advancement in technology. A study report based on mobile app usage statistics shows more than 75 billion mobile apps have been downloaded and the figure is expected to reach 268.69 billion by 2017. In addition, consumers spend 85% of the time that they use their smartphones on apps and 26% of research starts from apps. Thus, we can see that mobile apps are playing a big role in productivity and marketing and they are essential for success. But, the success of a mobile applies in how well it can engage users and solve their purpose. And this is only possible through mobile app analytics. Mobile app analytics refers to the collection, measurement, reporting and analysis of mobile data for the purpose of understanding and optimizing app usage. Mobile app analytics helps you understand customer behavior and tells you how you can customize your app to meet the needs of your customer. Why Mobile App Analytics Has Become So Important? Mobile users spend an average of 37 hours each month in apps and there is a 63% increase in usage every quarter. If you do not try to get the most out of the opportunities offered by the mobile space, then you are making a big mistake. Mobile app analytics helps you make the right decisions for your business. For example, a report by the Aberdeen group says that companies that used mobile analytics had an 11.6% increase in revenue while companies that chose to ignore mobile app analytics had a...

How to Initiate Business Intelligence in Your Organization

When running a business, it’s important to know what works for you, what doesn’t work for you and what hasn’t worked out for you in the past as well as what you need to do further to improve in the future. A mere knowledge of the facts on the face value is not enough to empower people with the insights they need to make better business decisions. There are some questions that only a dedicated process can answer. This is where Business Intelligence (BI) comes in: it is a smart data analysis process that businesses adopt to boost their performance by gaining valuable insights into their critical operations, using reporting applications and analytics tools. The applications and software used in this process are commonly known as BI applications and often include tabular reports, spreadsheets, charts, and dashboards. While BI systems are known for being costly and time-consuming, there are a myriad of business benefits associated with using these. According to a recent report by Dresner Advisory Services, apart from the clear advantage of better decision making, companies are found using BI for revenue growth, an increased competitive advantage, improved operational efficiency, and enhanced customer service. In addition to the outcomes cited by Dresner Advisory Services, BI also helps organizations improve decision-making processes at all levels of management and enhances their tactical and strategic management processes in the following effective ways: Gain Valuable Insights into Consumer Behavior Once you’re able to see what your customers want and understand what they are buying, using BI applications and tools, you can use these insights to develop something that matches the expectations of your customers...
Big Data – What is it?

Big Data – What is it?

In the recent times, Big Data has been put to different uses. Superstar Lady Gaga has created her very own social network Littlemonster.com from the data of millions of fans who follow her on Facebook and Twitter. Many big healthcare organizations today are adopting advances data analytics which are helping them in offering personalized care to the patients, determining the patient population of a particular type, advancing in medical research and much more. Not just this, even the Central Intelligence Agency of the US is looking for data scientists who can create robust database systems. There are reasons why Big Data has really taken off the market and why more and more people have stopped considering their bulk external as trash. The reason lies in the characteristics of Big Data, which are stated below: Volume The biggest attraction of big data to big data analytics is its ability to process large amounts of data. The integral challenge of this processing to IT structures is volume, which calls for a distributed approach for query and scalable storage. Velocity The other important characteristic of big data is the velocity with which data flows into an organization. The pattern followed by this parameter is similar to that of volume. Variety Data used in an organization is usually unordered and not ready for any kind of processing. Therefore, the data is diverse in nature and form. Big Data in Practice There is a difference between theoretical practices and actual deployment. The tool that should be used depends on the different dimensions of deployment. One of the major decisions that have to be made...