In the IT/business context, a transformer refers to a tech leader who enables “business transformation”—a definable process with concrete outcomes. Think about Netflix’s move from a mail-order DVD business to an online streaming service or Amazon’s foray into cloud computing and retail. These kinds of transformations are becoming more common: With the shrinking lifespan of established firms, businesses must disrupt or be disrupted, and IT leaders have a critical role to play.
Business Transformation: The Role of People Analytics
One of the most important responsibilities for IT leaders in supporting business transformation is delivering people analytics. Transformation requires companies to change products, competitors, and performance measures, but the people themselves have to transform if the firm wants to be disruptive. People need to alter their skillsets, how they collaborate with other people, and even how they think and behave.
People analytics delivers value by enabling organizations to quickly answer pressing questions that are essential to transformation: Where do we invest in L&D programs so as to have the biggest impact? What kind of new hires will propel our new business model forward? Who are the real experts within our organization who can deliver on this vision? How can we build teams to get the results we want?
And timing is everything. Companies have to strike when the market, ecosystem, and customers are ready. Move too late and they’ll be eating competitor’s dust. As a digital transformation expert writes in this CIO post, timing “on any transformation governs its success.”
This means that, when it comes to delivering people analytics as an enabler of business transformation, the main question for IT is: how do we deliver the best time-to-value for people analytics?
Build vs. Rent: Evaluating Time-to-Value for People analytics
There are two main ways to deliver people analytics. The first is to build a solution from the ground up using BI tools. The second is to rent a people analytics platform that comes with pre-built content. Here is a look at how both options stack up in terms of time-to-value:
Effort and Results
When building a people analytics capability in-house, IT needs to create a data extraction tool, data storage system, analytic engine, report writer, a visualization tool, secure sharing system, and more.
It then needs to apply all of these to the often messy and complex data that pervades all aspects of HR — all with an HR team that itself struggles to express the challenges they have and how data can help.
When all this is said and done, it typically takes over a year to build even a basic solution. However, an analytics platform that comes with pre-built content can be up and running within weeks, and can provide guidance to the HR team on what they should be leveraging.
Even if the data warehouse exists, HR analysts, data scientists, and IT staff must still find ways to help decision-makers extract meaningful value from the warehouse. This process has always been time-consuming and error-prone for any analytics journey, and with HR data errors, it can have a real and immediate impact on people (not to mention the requirements for highly specialized and in-demand skills).
In fact, many HR analytics teams are so consumed with just getting the data out that they do not have time to interpret the results. With a pre-built analytical solution, all that effort is removed, and much of the regular content is simply ready to serve.
Questions Lead to….More Questions
When analytics are provided to stakeholders, this only leads to new questions and a desire for more analytics. This means that the people analytics strategy does not have a completion date and that the strategy must be ready for constant growth and expansion.
Let’s just think about a single typical scenario for people analytics: IT gets the requirements from HR that they need to deliver turnover insight (which alone can be a long, drawn-out activity to prioritize the metrics and get agreement from all stakeholders on its definition). IT builds — with a lot of time and effort — a data model, analytic engine, queries, and visuals.
18 to 24 months later the organization finally has its turnover insight, and those questions answered.
But now HR has new questions around turnover: Could a new compensation plan help? They changed their performance review process in the meantime–did that make a difference? Is there a difference between minority groups?
With a pre-built solution, these requests would fall into the natural delivery phases, and the answers would be readily available once your data is added to the platform. The answer does not get constructed on hundreds of loosely managed spreadsheets, but instead becomes a natural part of the complete solution with a facilitated journey and clear data visualizations that invites exploration.
The Maintenance Burden
Choosing the build option, the burden for maintenance is heavier because at each stage, changes impact the next phase and all the inconsistencies need to be resolved.
Most organizations can find budget for the first version, but far too often do not take into consideration that this version will require constant updates and ongoing expansion as the business leverages the insight to change and so creates new demands for new insights.
Packaged SAAS solutions move that maintenance off to the solution vendor, who has baked-in knowledge of the business problem, provides constantly enhanced value, and offers a business model focused on making costs predictable at both the initial and ongoing phases of this critical task.
Ultimately, renting a people analytics platform delivers significantly better time-to-value at a fraction of the cost.
Enabling Business Agility in an Era of Disruption
At the end of the day, building a solution for people analytics is not the answer. By finding the right tools for the job, you aren’t starting from scratch. You are improving your company’s ability to build, develop, and structure the right teams that will help your business remain agile in the face of change.
About the author: Adam Binnie
Adam Binnie’s passion is creating new products for customers that leverage analytics to transform how they do business. Adam is an analytics software veteran with more than twenty years experience, and has created wholly new analytics software and solutions for organization like SAP, Business Objects, and Crystal Decisions.
Be the first to know!
Never miss a story! Get the Outsmart newsletter.