Blog

People Analytics Applications: To Buy Or Not To Buy?

Written by Dino Zincarini

July 20, 2021

People Analytics Applications: To Buy Or Not To Buy?

Let’s say your organization has bought into the idea of building a people analytics capability. Great! First step is to start shopping for tools right? That was my thinking as well. Full disclosure…I’ve spent most of my career working for software companies that build and sell analytics tools. I always believed that it was far more efficient and effective for a company to buy an off-the-shelf product rather than try and build their own or cobble something together from different pieces of technology for the following reasons:

  • Your organization is focused on its core business, not developing an analytics software product
  • You may not have the right resources to do this and if you do, building what is most likely an internal, departmental tool is probably not the best use of their time
  • The initial building is only a part of the cost; the continuous evolution and maintenance of the tool must be factored into the cost
  • And perhaps what is most important in my mind…how would you even know what to build when you haven’t been studying and following the analytics market? Simply put, you probably aren’t experts because you are experts in your core business, not this

I have been revising my previous thinking. In 2021 we have a very different technology landscape than even five years ago which makes building your own custom tool a viable option. Think about the following pros and cons:

  • Development tools have come a long way. Low code development environments, shareable toolsets and a wide variety of custom development shops have brought down the cost of building and maintaining custom software compared to enterprise software vendors
  • Vendors are constantly innovating which gives you capabilities that you may need;  upgrading to the new capabilities is up to you and your roadmap
  • Many times, it’s not the software that is the expensive part of the build, but aligning your data and architecture behind the tools that is the time and resource consuming problem
  • Tool vendors don’t have a specific customer in mind, they build for the largest possible market. This means you will pay for features you may not need or want
  • Software costs are high; enterprise software vendors usually have pricing plans that scale with the size of your business (e.g. your ability to pay) rather than the value you get from the tool
  • Most analytic projects fail not due to lack of technology but due to poor adoption; the more “bloat” in your tool and the more it doesn’t reflect your own unique needs the higher the risk your deployment will fail
  • Once you buy a tool it’s very difficult and expensive to move off of it, locking in the costs for years as the vendor will continue to add features that serve their market position, not necessarily your business needs

So how can you start your analytics journey and keep the most possible options open? Here’s a potential way forward:

  • Start by capturing the business requirements from the main people requesting data or the biggest current consumers of data. By requirements we mean understanding why they need the data and what they do with it more than how they use it
  • Don’t boil the ocean, but capture the requirements from the biggest users then spread out and validate/invalidate those requirements with others to enhance your requirements list
  • Armed with this set of business requirements you can effectively look for an off-the-shelf tool or work on developing your own solution (or via a partner firm) and not be distracted by features that may not solve a problem at your organization, helping you negotiate the best price for a product or build something that is a custom fit

Many organizations skip the requirements step when buying a vendor tool and just ask the major vendors to pitch. Instead, if you take the time to understand, document and confirm your business requirements you’ll be better positioned to drive the process whether you work with a tool vendor or a development project.

Listen to this week’s podcast for the full discussion on this topic as we discuss how to approach build vs buy with Dhruv Dang from Real Folk Inc.

Embracing Fair Pay in the War for Talent

Download our white paper to further understand how organizations across the country are using market data, internal analytics, and strategic communication to establish an equitable pay structure.

about the author
Dino has a remarkable background with over 20 years of experience starting from an Economics and Computer Science degree from the University of Waterloo.

Insights You Need to Get It Right

The latest research, expert advice, and compensation best practices all in one place.
Salary.com Recognized by Analyst Study for Strengths in Data Software
Salary.com Recognized by Analyst Study for Strengths in Data Software Press Release
Survey data reveals Salary.com popular among mid-market and enterprise-size companies

Read More

What to Look for When Choosing a Salary Survey Partner
What to Look for When Choosing a Salary Survey Partner Blog
What to look for, avoid, and be wary of when choosing a survey partner.

Read More

CompAnalyst Market Data: Smart Matches, Fast Prices, and New Insights
CompAnalyst Market Data: Smart Matches, Fast Prices, and New Insights product Sheet
The CompAnalyst Market Data platform is easier to use than ever before.

Read More

Differences Between HR-Reported and Crowd-Sourced Compensation Data
Differences Between HR-Reported and Crowd-Sourced Compensation Data White paper
To make decisions about the value of a job, you need data from a range of sources.

Read More

Salary.com Releases JobArchitect, A Tool to Align Organizational Needs
Salary.com Releases JobArchitect, A Tool to Align Organizational Needs Press Release
Salary.com released JobArchitect, a management tool to keep job descriptions up-to-date.

Read More

It's Easy to Get Started

Transform compensation at your organization and get pay right — see how with a personalized demo.