Market Analytics

Stay ahead in the market by tracking trends and ensure better ROI from marketing activity.

With EzDataMunch, users can know every stage of opportunity created by marketers. Understand various campaigns impact and effectiveness of every campaign owner. Identify the phase where customers are dropping out and develop strategies to take customers towards completing the sales cycle

Trend Analysis

Retail industry is replete with all sorts of categories catering to consumer requirements. Growth or decline of retail in any country represents the economy of that country. Thus, retail sales are driven by income, interest rates and consumer confidence. Other crucial factors for retail are seasonality, location, proximity to competitors and segments. Retailers need to be one step ahead of the market to predict trends and take actions accordingly to ensure profitability and growth.

With EzDataMunch retail analytics solutions retailers can:

  • Gain insight into the current trends by analyzing the market as per top performing segments and low performing segments.
  • Drill deeper by top performing brands and low performing brands in every segment to align your product or service offerings as per the statistics.
  • Analyze which brands, products and services are contributing most to the economy and driving market sentiments.
  • Calculate the growth in brand value year over year basis and identify factors causing the change.

Campaign Performance Analysis

Abundance of data is already available for retail industry and more is created every day. The differentiating factor for any retail company is how they drive value from this data. Companies that use data analytics for decision making see a remarkable impact on their campaigns. Marketers need real-time information to discover opportunities , innovate new campaigns and measure ROI.

With EzDataMunch campaign performance dashboards retailers can:

  • Analyze monetary value of pipelines, closed won cases and see the factors contributing to it.
  • Analyze the performance of marketing campaigns against the benchmark set and track campaign response.
  • Analyze total leads and check the contributing factors. Also compare current data with previous years data to track growth.
  • Check total campaign value and cost involved in them. Track campaign owner’s effectiveness and the assumptions made to formulate the campaigns.
  • Analyze opportunity value and understand factors that are influencing the opportunity at every stage.
  • Get a closer look into every opportunity by knowing who is the opportunity owner. What stage the opportunity currently stands at. What were the efforts or measures taken to push the opportunity ahead in the sales funnel. See the total number of opportunities and drill deeper to check opportunity owner’s contribution.
  • Identify bottlenecks faced by opportunity owners, articulate steps to overcome them and add value at every stage.
  • Define campaign objective and set targets based on location, target persona and campaign type.
  • Analyze real-time response to all the campaigns and get insight into the factors like campaign message.
  • Know the offers that are driving success or failure and take corrective actions to enhance the campaign.
  • Know the cost of acquiring a new customer.

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 Retail Client’s Experience.


Retail

We gave a high level description of our requirements and within 48 hours EzDataMunch team came up with the entire prototype that provided us an insight into how the entire solution may look like.  It was a great surprise to find a company can pull of something like this complex in couple of days.

VP Sales Operations

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