AMDDATAWIZ Services for the Energy and Natural Resources Industry
Energy and natural resources companies are usually under tremendous pressure to achieve operational excellence in order to derive the maximum value from their resources. Whether it is oil & gas, mining, or petrochemical—the business operator’s focus is always on effectively mitigating risks, investing capitals, commissioning assets, and timely supply of resources to the market. The compliance and regulatory requirements demand tight discipline in managing all the data maintained in asset documents, operational files, engineering documents, or legal contracts among others. Thus, data management in the ENR is a challenging proposition.
The ENR industry, as everyone knows, is highly susceptible to information leakage—especially due to frequent cyber attacks on their digital archives. Traditionally, this industry ignored information security, as a result of which, the ENR sector has remained an easy target for cyber attacks. In February 2013, the US Department of Energy confirmed that computers and servers at its Washington headquarters were compromised during a cyber attack, where personally identifiable information of several hundred employees and contractors were hacked. McAfee, naming a series of such attacks on ENR sector as “Night Dragon,” explained that such attacks on global oil, energy, and petrochemical companies started as early as 2007.
At AMDDATAWIZ, the expert data professionals can help ENR clients develop predictive models of future business events by studying the existing business trends and patterns derived from the historical or transactional data available in their businesses. The main goal of this type of data analysis is to identify opportunities or risks present in the client’s business. This type of analytics may also help uncover security risks and threats present in the ENR data systems.
Business dashboards enable easy viewing of segmented or comparable business data. The expert data consultants at AMDDATAWIZ can help your ENR organization work smarter with the support of analytics, big data visualization, or highly visible reports to make quick decisions whenever you want.
The Information at risk category in ENR includes mergers-and-acquisitions plans, transaction records, annual reports, IPR data, records of legal disputes, and various trade secrets. Thus data management in the ENR industry brings a special set of challenges in analyzing and assessing risks.
At AMDDATAWIZ, The data-management systems that we will build for your ENR operations will holistically address data security and operational intelligence to bring greater business value through synergistic partnerships between people, processes, and technology.
The remote ENR workers working on oil rigs, mines or energy plants can now use AMDDATAWIZ’s mobile BI apps to tap into corporate or any digital data repository from remote locations. This service ideally suited to business owners, operators, or employees who conduct daily business on the road or from remote locations where they may not even have access to their desktop or laptop machines.
Our business intelligence services are designed to aid ENR businesses make smarter decisions. At AMDDATAWIZ, our capable ENR data management team will analyze ENR business data, map the reporting needs, and build vivid reports and dashboards for quick and informed decision making. Our online Reports and Business Intelligence Service has been designed to meet all your critical business needs.
Our Cloud BI Service is an enterprise-class analytics platform, which provides access to high end data-management and BI capabilities on hosted infrastructure.
AMDDATAWIZ has enabled our team to deliver high quality files within tight deadlines to make sure that now we are able to execute much more number of
campaigns with much improved response rate. The campaign model and training framework created by AMDDATAWIZ are now employed at our end to upskill our resources I wanted to express my sincerest appreciation to the entire AMDDATAWIZ team for assisting us with delivering our CPU model early.
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