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Build vs. Rent: Don’t Crash on the Do-It-Yourself Iceberg for People Analytics

Visier

At Visier, we refer to this as “add data and stir.” They currently support only 200 users, yet have a 15-person analytics team: a team size even large enterprises can only dream of, and a team five times larger than necessary — t he benchmark is one analytics team member per 3500 staff in an organization.

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Build vs. Rent: Don’t Crash on the Do-It-Yourself Iceberg for Workforce Intelligence

Visier

At Visier, we refer to this as “add data and stir.” They currently support only 200 users, yet have a 15-person analytics team: a team size even large enterprises can only dream of, and a team five times larger than necessary — t he benchmark is one analytics team member per 3500 staff in an organization.

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Why Benchmarking 2.0 is a Must-Have for Influential HR Leaders

Visier

Jac Fitz-enz — now celebrated as the father of human capital strategic analysis and measurement — founded the Saratoga Institute , and developed the first international HR benchmarking service. In this first wave of benchmarking, HR was provided with static comparison data that was typically 24 months old.

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Why Benchmarking 2.0 is a Must-Have for Influential HR Leaders

Visier

Jac Fitz-enz — now celebrated as the father of modern HR — founded the Saratoga Institute , and developed the first international HR benchmarking service. In this first wave of benchmarking, HR was provided with static comparison data that was typically 24 months old. Enter HR Benchmarking 2.0:

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When Job Title Data are Standardized, Everyone Wins

Visier

For example, one Visier user, an organization in the healthcare space, employed thousands of nurses—with nearly as many job titles! Visier’s Enterprise customers, who have a median of 11,593 employees, have a median of 1,500 job titles, and many have between 2,000 and 3,000. How to use Visier to standardize jobs.

Data 195
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It’s About More Than HR: Analytics Learnings from Tom Davenport and Dr. John Sullivan

Visier

At this year’s Visier Outsmart (our annual user conference), we were fortunate to have two notable industry thought leaders take part: Tom Davenport, Big Data luminary and pioneer of the concept of “competing on analytics,” and Dr. John Sullivan, internationally renowned HR thought leader (and guest writer on the Visier blog ).

Analytics 305
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How to Avoid Talent Gaps with Data-Driven Succession Planning

Visier

When conducting a talent review, this internal benchmarking can be useful in determining where she sits against peers in a number of factors including pay, performance, tenure and risk of exit. This comparison analysis shows where an employee sits against her peers for a number of factors.