--- title: Are You Making any of these 3 Common Mistakes Using Data? description: With a growing body of data from which to make decisions, people must avoid these 3 common mistakes using data to make decisions. image: https://blog.neocasesoftware.com/hubfs/Imported_Blog_Media/Employee-on-SmartPhone.jpg --- [![Neocase BY Sopra HR-07](https://blog.neocasesoftware.com/hubfs/Neocase%20BY%20Sopra%20HR-07.png) ![Neocase BY Sopra HR-07](https://blog.neocasesoftware.com/hubfs/Neocase%20BY%20Sopra%20HR-07.png)](https://www.neocasesoftware.com) - Product - [![](https://neocasesoftware.com/wp-content/uploads/2024/08/file-text-icon.svg)Solutions](https://www.neocasesoftware.com/hr-solutions/) - [Neocase HR](https://www.neocasesoftware.com/hr-solutions/neocase-hr-solution) - [Neocase HR Ready](https://www.neocasesoftware.com/hr-solutions/neocase-hr-ready-solution) - [Neocase Employee Journey](https://www.neocasesoftware.com/hr-solutions/neocase-employee-journey) - [Neocase Employee Relations](https://www.neocasesoftware.com/hr-solutions/neocase-employee-relations) - 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Posted on [November 26, 2017](https://blog.neocasesoftware.com/making-3-common-mistakes-using-data) by [Jim Watson](https://blog.neocasesoftware.com/author/jim-watson) [Home](https://www.neocasesoftware.com/) > [Neocase Blog](https://blog.neocasesoftware.com/making-3-common-mistakes-using-data) > **Are You Making any of these 3 Common Mistakes Using Data?** According to an [IDC](https://www.idc.com/) study, the amount of global data is likely to increase ten times to 163 [zettabytes](https://www.youtube.com/watch?v=sbNBRbNfd_s) [by 2025](https://economictimes.indiatimes.com/tech/internet/global-data-to-increase-10x-by-2025-data-age-2025/articleshow/58004862.cms).  That’s a lot of data.  And it’s good news if you’re the type that uses data to make decisions to improve your organization’s future.  But there are 3 common mistakes using data. The more we use data, the more opportunities there are to make any one of these common mistakes.  So, let's get them out on the table, so we know what to avoid!   ## 3 Common Mistakes to Avoid when Making Decisions from Data   1. Correlation vs. Causation 2. Confirmation [Bias](https://www.linkedin.com/pulse/2-most-common-mistakes-when-using-data-how-avoid-them-shu-wang-%E7%8E%8B%E6%BE%8D/) 3. Drawing conclusions from [Thin](https://www.analyticsvidhya.com/blog/2013/06/common-mistakes-analysis-avoid-them/) data   ## Correlation vs. Causation [Archana Madhavan](https://www.linkedin.com/in/archanamadhavan/), Content Strategist at Interana differentiates correlation from causation in the blog post, “[Correlation vs Causation](https://amplitude.com/blog/2017/01/19/causation-correlation/): Understand the Difference for Your Business.”   The article quotes [Ben Yoskovitz](https://www.linkedin.com/in/byosko/), founding partner of Highline Beta:   ***“Correlation helps you predict the future, because it gives you an indication of what’s going to happen. Causality lets you change the future.**”*   When we use analytics in the HR Service Center, we do it with the end goal of making changes, either within the employee experience, or HR productivity.  Sure, we like to know if our Tier Zero Resolution rate will be higher next quarter, but ideally, we want to know that we have the power to *cause* TZR to increase.   ## Confirmation Bias Most of us read “[To Kill a Mockingbird](https://www.goodreads.com/book/show/2657.To_Kill_a_Mockingbird)” at some point in school.In the story, Atticus Finch said, ***“People generally see what they look for, and hear what they listen for.”***   That’s confirmation bias, in a nutshell.   We all have ideas and opinions, and we tend to seek out data that validate our thoughts.  But when we focus on data that  validates our current view, we make ourselves blind to data that may reveal the real reality.   Let’s say you simplify your open enrollment process.  And you’re convinced that the simplifications will reduce the number of employee inquiries to the HR service center.  After the first week of the open enrollment period, reports show an increase in inquiries from some business units, but not others.   Your bias causes you to focus on the lower-inquiry business, and ignore those that show an increase.  Influenced by your bias, you decide not to increase call center staffing for the remainder of the enrollment period.   The next week, the call center gets slammed, and you don’t have enough agents to handle the load.  Your confirmation bias caused you to make a decision that resulted in what’s become a bad employee and agent experience.  %^$#&!!   ## Drawing Conclusions from [Thin](https://www.analyticsvidhya.com/blog/2013/06/common-mistakes-analysis-avoid-them/) Data (and extrapolating it) Sometimes, we’re quick to draw conclusions from graphs that present a very clear picture.  It’ like, “Hey, who could argue with this?!”   The problem is, even in graphs, looks can be deceiving.   A graph is only as reliable as its underlying data.  And if there’s not much data behind the picture, there’s not much reliability either.   Here’s a good example:   The cartoon below (thank you [Kunal Jain](https://www.analyticsvidhya.com/blog/author/kunalj/)) demonstrates what can happen when you try to draw conclusions from an inadequate sample size.   The woman in the cartoon – let’s call her Zsa Zsa – just got married. Yesterday she had 0 husbands.  Today she has one.   A simple graphic plotting the number of husbands over time makes it appear that Zsa Zsa will have dozens of husbands one month from now.  The thin-data issue is that the graph includes only a single point of data.  And that’s hardly enough to predict even Zsa Zsa’s future nuptial numbers.   It’s easy to make these “thin data” errors when you feel the need to take action.   For example, a company posted an open survey on their HR Self service portal where   Employees could provide feedback on their portal experience.   After 30 days, the portal administrator identified a trend in the responses, and considered making a change to the portal  design – but decided to hold off.   After 60 days, there were significantly more response data.  This time, the report showed a different trend.  Knowledge base use was up significantly, and the original portal design was validated.   Our burning desire to take action can lure us into making decisions before we have enough information.     ## **3 Common Mistakes to Avoid Using Data**   Today’s abundance of data enables us to make more data-driven decisions.  But proceed with caution.  The more decision we make from data, the more we avail ourselves to the common errors of Correlation vs. Causation, Confirmation Bias, Concluding from Thin Data.   Maintaining an awareness of these common errors more likely to avoid them when we make decision from data.  And those decisions will then be more likely to cause the results we’re after. Share this post ![Jim Watson](https://blog.neocasesoftware.com/hubfs/JWA.jpg) ##### Jim Watson Jim Watson is a Sr. Solution Consultant for HR Service Delivery at Neocase Software, and has been helping clients improve their Employee Experience, HR Productivity and Service Center Efficiency for over 10 years. He lives on the coast of Maine where he enjoys reading, writing and rowing which inspire his pursuit of the Perfect Service Experience! ### CATEGORIES - [HR Service Delivery (231)](https://blog.neocasesoftware.com/tag/hr-service-delivery-posts) - [Press (34)](https://blog.neocasesoftware.com/tag/press) - [Experience collaborateur (33)](https://blog.neocasesoftware.com/tag/experience-collaborateur) - [Case Management (31)](https://blog.neocasesoftware.com/tag/case-management) - [Self-Service Portal (29)](https://blog.neocasesoftware.com/tag/self-service-portal) - [Product (26)](https://blog.neocasesoftware.com/tag/product) - [Employee Experience (22)](https://blog.neocasesoftware.com/tag/employee-experience) - [Knowledge Base (22)](https://blog.neocasesoftware.com/tag/knowledge-base) - [Best Practices (21)](https://blog.neocasesoftware.com/tag/best-practices) - [Business Process Automation (20)](https://blog.neocasesoftware.com/tag/business-process-automation-posts) - [Digital transformation (15)](https://blog.neocasesoftware.com/tag/digital-transformation) - [Feature (14)](https://blog.neocasesoftware.com/tag/feature) - [Artificial Intelligence (13)](https://blog.neocasesoftware.com/tag/artificial-intelligence) - [Future of HR (13)](https://blog.neocasesoftware.com/tag/future-of-hr) - [Fosway (11)](https://blog.neocasesoftware.com/tag/fosway) - [Partner (11)](https://blog.neocasesoftware.com/tag/partner) - [Employee Journey (10)](https://blog.neocasesoftware.com/tag/employee-journey) - [Employee Relations (10)](https://blog.neocasesoftware.com/tag/employee-relations) - [Events (10)](https://blog.neocasesoftware.com/tag/events) - [COVID-19 (8)](https://blog.neocasesoftware.com/tag/covid-19) - [Employee Document Management (8)](https://blog.neocasesoftware.com/tag/employee-document-management) - [Customers (7)](https://blog.neocasesoftware.com/tag/customers) - [Onboarding (7)](https://blog.neocasesoftware.com/tag/onboarding) - [Neocase HR (6)](https://blog.neocasesoftware.com/tag/neocase-hr) - [EDM (5)](https://blog.neocasesoftware.com/tag/edm) - [Chatbot (4)](https://blog.neocasesoftware.com/tag/chatbot) - [Data Confidentiality (4)](https://blog.neocasesoftware.com/tag/data-confidentiality) - [Manufacturing (4)](https://blog.neocasesoftware.com/tag/manufacturing) - [Analytics (3)](https://blog.neocasesoftware.com/tag/analytics) - [ERM (2)](https://blog.neocasesoftware.com/tag/erm) - [Monthly Updates (2)](https://blog.neocasesoftware.com/tag/monthly-updates) - [News (2)](https://blog.neocasesoftware.com/tag/news) - [Reporting (2)](https://blog.neocasesoftware.com/tag/reporting) - [Webinar (2)](https://blog.neocasesoftware.com/tag/webinar) - [offboarding (2)](https://blog.neocasesoftware.com/tag/offboarding) - [Gartner (1)](https://blog.neocasesoftware.com/tag/gartner) - [Health and Safety at work (1)](https://blog.neocasesoftware.com/tag/health-and-safety-at-work) - [Professional Services (1)](https://blog.neocasesoftware.com/tag/professional-services) - [Quality of work (1)](https://blog.neocasesoftware.com/tag/quality-of-work) - [Shared Cervice Center (1)](https://blog.neocasesoftware.com/tag/shared-cervice-center) - [Success Story (1)](https://blog.neocasesoftware.com/tag/success-story) - [What is..? (1)](https://blog.neocasesoftware.com/tag/what-is) - [Workday connector (1)](https://blog.neocasesoftware.com/tag/workday-connector) See all ## See the Power of [HR Service Delivery](https://info.neocasesoftware.com/book-demo?hsLang=en) [Book a demo now](https://info.neocasesoftware.com/book-demo?hsLang=en) Blog articles you don’t want to miss directly in your inbox What is Neocase and how does it help HR teams? Neocase is a cloud-based HR service delivery platform that automates HR processes, improves employee experience, and optimizes shared service center operations. It helps HR teams reduce manual tasks, increase efficiency, and deliver faster, more personalized services. What are the main features of Neocase HR solutions? Neocase offers a wide range of features, including: - **Case Management** for handling employee requests efficiently - **Knowledge Base** for self-service and quick answers - **Document Management** for secure storage and compliance - **Employee Self-Service Portals** for easy access to HR services - **AI-powered Automation** to streamline workflows and reduce response times - **Reports and Analytics** to monitor HR performance and manage key indicators. Can Neocase integrate with existing HR systems like SAP SuccessFactors or Workday? Yes. Neocase integrates seamlessly with leading HRIS platforms such as SAP SuccessFactors, Workday, and others. These integrations ensure smooth data exchange and process continuity without disrupting your existing HR ecosystem. How does Neocase ensure data security and compliance? Neocase is ISO 27001 certified and fully GDPR compliant. The platform uses secure cloud architecture, encryption, and strict access controls to protect sensitive HR data and maintain compliance with global regulations. Is Neocase suitable for global organizations and multi-language environments? Absolutely. Neocase supports multi-country deployments, multiple languages, and localization features, making it ideal for global organizations with diverse workforces. How can I request a demo or learn more about pricing? 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