Oil & Gas

Improve forecast, ensure supply as per demand, align operations with market conditions and reduce cost.

EzDataMunch’s Oil and Gas Analytics dashboards provide real-time visibility and greater insight into the key performance indicators (KPIs). Customers can use pre-built dashboards or customize the apps as per data sources, business metrics, KPIs and organizational goals. Utility dashboards are commonly used to display service volume, outages per area and consumption. Energy dashboards may display such metrics as energy consumption by plant and unit. In addition to the regular business metrics, EzDataMunch has integrated customer care analytics in our Oil and Gas analytics solutions. This App provides complete visibility into the customer interaction touch points, patterns, behavior and call volumes handled by customer care team.

Utilize resources optimally and maintain business profitability by using our oil and gas analytics solutions.

Population is growing exponentially across the globe. This situation is creating incremental pressure on companies. Demand for energy and other utility products is also rising. Companies face immense challenge to cater to the ever increasing demand for their services.

  • To fulfil customer’s demand, companies need to utilize resources optimally and improve operations.
  • Proper asset allocation and reduced spend is vital to keep the prices in check and maintain profits.
  • Utility companies generate huge volumes of data every day. Introduction of smart meters and technological innovations in this sector has lead to data explosion.
  • This data is knowledge and the power of knowledge creates magic if harnessed appropriately.
  • Public companies can get answers to many questions given the data is used pragmatically.
  • Proper visualization of this data can solve many problems and uncover hidden business opportunities.

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Customer Analytics

Identify training needs, Improve customer experience & maintain profits.

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Spend Analytics

Track current spend, compare budget with spend and predict future spend.

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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.

9,124 total views, 60 views today

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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