The importance of aggregating data

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Aggregation is the wave of the future.

Data aggregation; according to Whatis.com, is any process in which information is gathered and expressed in a summary form; a common purpose is to get more information from a group of specific variables. For most businesses, pulling this data together is more art form than science – a business analyst gets curious about a trend and wants to dig a little deeper or an engineer knows intuitively that weather affects his team’s ability to get a job done. But this type of application requires resources – something a lot of businesses don’t necessarily have on hand.

In talking to one operations expert, Mark S., we know how important the ‘layering’ of data can be. “Integration of technologies is huge. It’s so important right now because there are so many applications. Each department has their own software, specific for their industry and yet they need to talk to each other to give the full picture. Like putting a cake together, finding a good solution to put the layers together is critical. If it’s too complicated, no one will use it. Too simple and it won’t capture all of the data you need.”

 

Data Rich, Information Poor

Many companies have data. In fact, they have lots of it. A local business consultant often shares with us that he talks to companies all the time who claim to have “more data than they know what to do with”, but they are not effectively using it to make decisions. They can’t make ‘information’ come to life from the static spreadsheets, PDF charts, and the volumes of personal information. These systems are not designed to be adaptable, shareable, or fluid and more importantly, they are not used in real-time or prescriptively or proactively.

 

Dive into the “why”

Data, when aggregated and layered together, can not only provide deep insights, but can also drive future actions with machine-learning. As an example, the construction foreman knows that after cement is poured, after a certain degree of curing, he can begin other tasks associated with using that concrete structure. However, if it is a rainy day and the associated humidity or temperature sensors (or local weather reports) are indicating a slower-than-normal curing process, this real-time data should inform the next steps in the process, to adjust their timing. If the aggregated information pushes the next tasks automatically (based on real-time data and data models) the foreman can avoid getting back to the office to log the sensor information and wait for the analyst to make the decision, or worse, just using “gut feel” to inform his or her next move.  Tasks usually operate in an ecosystem of information and opinions. Modifi aligns data so that the task-ecosystem operates seamlessly.

 

To learn why…Modifi.

At Modifi, we’ve built the tools for you and your industry. We know what it takes to put powerful technology in the hands of the janitor, the delivery team, and your vendors. The data we summarize in real time enables managers of all levels to be at the top of their game and helping lock in the valuable processes of the organization. We would encourage you to reach out to www.Modifi.io to take a customized tour for yourself and embrace the power of your people.

 

 

Marie Gill