Utility Data Aggregation: How to Take the Best Approach

by | May 5, 2016

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urjanet ebook coverEnergy services and software providers tend to perform a variety of strategic activities, including performing building audits, evaluating peak demand, implementing energy efficiency products for customers, qualifying customers’ risks in deregulated energy markets, creating detailed energy reports, etc. All of these activities have one, rather cumbersome thing in common: they require the aggregation of utility data, and manual approaches are inefficient and often ineffective. An automated approach can improve data access, increase efficiencies and remove silos, writes Urjanet in a new eBook, The Missing Puzzle Piece: Automated Utility Data Aggregation.

Most energy services and software providers take a manual approach to the utility data aggregation process – a process that leaves a lot to be desired. The process of aggregating utility data is a lengthy, arduous process including gathering data from various sources, standardizing it, tracking it in spreadsheets, and more. Once one cycle is completed, it’s almost time to start the next, and still it leaves much to be desired.

With an end goal of helping customers better analyze data and make more informed decisions in order to improve energy efficiency, and the fact that manual data collection is inefficient, automation may be vital to energy services and software providers.

Automating processes has already helped industries of all kinds improve data access, increase efficiencies and remove silos, and it’s time to bring those same benefits to the energy industry, says Urjanet.

Automating the entire process should allow for data collection automation, with standardization and tracking activities in the background without any manpower. Doing so not only eliminates the shortcomings described above as it saves time, increases accuracy and reduces costs, but it also leads to several additional benefits, according to the eBook.

Urjanet’s eBook includes detailed information on how to solve the data access problem by automation, how to measure the impact of automation, and how to drive positive change and increase value with automation. Download the eBook here.

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