Recently, we’ve been running a series of posts highlighting the interests and needs of different types of analytics users in the enterprise.
In this installment, we examine the analytical needs of Larry, a corporate attorney for a diversified energy services provider whose top goal is to protect the company from risk and liability.
In the past, we’ve examined the analytical needs of Paula, a shrewd purchasing manager for a large logistics provider, whose boss wants her to identify opportunities to save money and to find attractive alternatives in the market that offer good value and no hidden costs.
We’ve also featured Allison, an inquisitive mergers and acquisitions analyst for an international bank, who needs to be able to conduct deep analyses to uncover essential insights about prospective acquisition targets without having to rely on IT for the information.
Now, back to Larry.
In his role as one of the company’s six corporate attorneys, Larry also wants to ensure that all contracts and service-level agreements with external entities are favorable to the company.
Larry has been paying particularly close attention to all cloud-related contracts to ensure that all clauses and language that pertain to security and uptime are worded properly to protect the company’s interests.
Larry has been striving to make certain that all cloud and technology providers the energy company contracts with are bound by well-defined service-level agreements. He wants a predictive analytics platform that can help him easily analyze and compare contract language between existing cloud and technology contracts for the energy services company.
Larry also wants data discovery capabilities that allow him to quickly locate and examine clauses related to data security, privacy, authorized use, and other provisions of cloud computing agreements.
In addition, Larry wants access to data visualization capabilities that can help him envision definitions in cloud and technology contracts that are being used or are being considered by the legal and procurement teams for the energy services company.
As we’ve seen through our series of analytics “personas,” different roles within the enterprise have their own unique requirements when it comes to predictive analytics.
An analyst such as Allison is more of a power user who leans heavily on predictive analytics to create her own models to help her company discover meaningful trends, patterns, and outliers with potential acquisition targets for her company.
Meanwhile, a “business champion” such as Brian seeks real-time insights into manufacturing performance issues along with the ability to quickly analyze the root causes to mitigate risk to the enterprise.
Just as different people in the organization require different capabilities from predictive analytics, superior analytics tools aren’t one-size-fits-all offerings. Best-in-class platforms provide companies with a variety of attributes that appeal to different classes of users.
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