Mobile

Track mobile add campaigns, app download details, kind of media consumed and more.

With every passing second more and more companies are adopting mobile devices like Tabs and IPads in the workplace. BYOD is the hot topic in most of the companies and CIOs are not shying away to understand the implications and limitations of these devices. At the same time companies have taken initiatives on mobile platforms to increase their reach, improve sales, enhance marketing efforts, understand customer behavior, predict future growth and revenue. Though the future is mobile but it comes with its own sets of complexities. Its an addition to the existing arsenal of any company’s strategy that means more data being generated through multiple devices.

Data is being generated at an alarming rate from multiple avenues like mobile and other virtual and real-time aspects. The problem is not the data but to make sense of this overwhelming accumulation of data. Companies often struggle to gather the data from disparate sources, filter it and transform the insight into necessary actions. And, this situation makes it more important to have a mobile business intelligence solution in place. Another challenge faced by the companies is regarding trained professionals who can help them make sense of the data and train their employees at the same time to be independent in the use of mobile business intelligence solutions.

There is an overwhelming demand for mobile business intelligence. With each passing day more and more companies are adopting mobile analytics solutions to extract meaningful information from the ocean of data generated by their mobile initiatives. Top businesses have already attacked this opportunity and are gaining significant advantage over others. These companies have been able to answer many questions which were locked to them previously. Business critical metrics such as customer behavior, revenue generated per customer, time spent on site and other activities related to the business and more are visualized in the simplest ways to take informed and accurate actions.

CIOs are increasingly becoming mobile savvy and want to have a mobile business intelligence software that can provide them real time information. Being mobile means “flexibility” and companies are giving more authority to their employees like many companies have provided Ipads to their sales reps that can use mobile BI on the field as and take informed action with just a click and at an amazing speed.

EzDataMunch provides mobile business intelligence solutions that are comprehensive and robust with the ability to extract information from multiple platforms with ease and transform the data into highly meaningful and actionable visual report.

  • Measure click through rate from multiple mobile advertising campaigns and revenue generated.
  • Check rankings by getting insight into the factors causing adds to rank.
  • Target relevant audience based on their interest and demographics.
  • Track number of impressions, expenditure and ROI from mobile campaigns.
  • Our pre built mobile analytics dashboard gives real time insight into the sales done by mobile apps.
  • Users can get complete overview of revenue, average revenue per user (ARPU).
  • Complete insight into total number of paying users and more.
  • Customer engagement is one of the most important metrics that gives insight into customer behaviour and time spend on the app.
  • Our mobile analytics dashboards gives complete information regarding customer.
  • The points covered are total time spent, frequency of visits, paid or unpaid, usage patterns and more.
  • This data can help in accurate future prediction of customer behavior and take necessary actions for retention.
  • Users can view complete information regarding most important metrics such as downloads, revenue, ranking and reviews.
  • This dashboard makes it easy for the user to customize it as per their preference and provide real time information.
  • The dashboard can be filtered as per the period to track changes and identify trends to take better decisions.

Blogs

How to Use Simple Date Functions in QlikView and QlikSense

In the present competitive world, all organizations are showing an interest in Business Analytics by using different technologies like QlikView, QlikSense and Tableau etc. In different technologies, Year wise and Period wise analysis plays a major role for monitoring...
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How to get started with NPrinting?

What is NPrinting and why it is used? Historically, QlikView has not had a particularly strong ability to print or publish reports. Qlik has preferred to concentrate their efforts on the strengths of QlikView - business intelligence and data discovery. This has lead...
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Implementation of Incremental Load in QlikView and its Benefits

Why Incremental Load? Is your BI Application hitting Database for large volumes of data? If so, is it happening frequently? As BI applications are expected to deal with larger data sets, there is a need for frequent refreshes to get the updated data. In both the...
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5 Milestones (Discoveries) driving Effective QlikView BI application

1) Data Access Layer: QlikView Adopts Multiple Data Sources. The QlikView Data Access layer supports heterogeneous data sources to load the data. Unlike all other reporting tools QlikView Data can be sourced from different databases using standard ODBC, OLEDB and JDBC...
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Patient Care Analysis

Why Patient care analysis is important for Hospitals? In a 2009 report called "Crossing the Quality Chasm", the U.S. Institute of Medicine defined patient - centred care as: “providing care that is respectful of and responsive to individual patient preferences, needs,...
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Six Rules to become a Quality QlikView Developer

If you have learned many programming languages but not settled in your career, QlikView can definitely boost your career. As a QlikView Developer, I would like to share my thoughts here. QlikView is growing rapidly. With over 30,000 customers, demand for skilled...
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9 Reasons To Have Advanced Business Intelligence Tools

Generates Reports Quickly. There are multiple departments and processes in an organization. Thus data is scattered across the organization in various formats. Lot of effort is required to gather the data, cleanse it and convert it into desirable format for analysis...
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6 Answers to Bolster Your Predictive Workforce Analytics Efforts.

Interview with Co-founder and President of EzDataMunch, Anupama Desai. Q: How is a specific line of business / business unit using your EzDataMunch predictive Workforce Analytics Software and Apps? How is your product deployed into operations? A: EzDataMunch is being...
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7 ways analytics can help Supply Chain.

There are multiple factors that affect the success of supply chain process. These factors can be divided into four broad categories such as Political, social, economical and technology. Each category encompasses various elements such as increased regulatory pressure,...
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Part 2: BI Software Implementation Pitfalls – Tips for a successful Proof of Concept.

Address future requirements as well as current ones.
Consult with your own IT professionals.
Refuse to invest a lot of money in a POC.
Focus on BI dashboard capabilities –don’t get distracted by pretty visuals.

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Our Media Client’s Experience.


Media

We wanted to analyze our Travel and expense spend across business units. The challenge was analyzing travel spend through “Concur” that was only providing partial insight. To do a more holistic spend analysis, we needed to consolidate data across various sources like Concur, HR data, P-Card data, Travel agency data, Contract data for hotels / car rental companies and business rules and policies to ensure we can analyze compliance to organization policies. After comparing multiple solutions out there in the market, we selected EzDataMunch as they had the most comprehensive playbook. We were able to analyze data as we needed, a simple user interface, data uploaded in cloud and best of all – we could see the savings of almost $2.5Mn in 60 days!

Sr. Director Strategy and Analysis

Whitepaper

Travel & Entertainment Spend Analysis Best Practices

Case Study

Travel & Expense Optimization For A Media Company

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