Every day business leaders make countless decisions based on data. Yet 1 in 3 senior executives readily admit that they don’t trust their data, and – a full 92% are concerned about the negative impact of data and analytics on the corporation’s reputation.
The reality is that dirty data is every organization’s dirty little secret. No matter how many analytics tools your organization has, the results are only as good as the data powering it – data that is often littered with missing or inaccurate information. Human input often results in human errors…which can lead to widespread and costly data issues.
Dirty data is particularly dangerous when it comes to managing HR, as it can be a significant barrier to closing pay gaps, complying with the Affordable Care Act, and creating a more diverse workplace. Decisions made based on inaccurate analytics create risk of penalties, lost revenue and creating inequities in your workforce.
Trusaic’s Workforce Analytics Machine® (WAM) analyzes and cleans HR data using machine learning and artificial intelligence, supported by our patented technology. Workforce Analytics Machine is powered by our 25 years of regulatory compliance experience, an intense focus on identifying those issues we know drive penalties and risk. Other solutions can “manage” compliance, but without clean, consolidated data, they can never eliminate risk in the way that we do.
We help mid-market and enterprise organizations clean their dirty data to reduce penalty risk, maximize business opportunities, and ensure accurate decision making. We also partner with top HR platforms to help their clients get better analytics from their systems.
We consolidate, clean, and analyze data across all of your systems – including HR, payroll, benefits, time and attendance, and more. No matter how complex your systems are, we’re able to clean your data in a way that is simple and seamless, without moving your data or creating a complex extraction, transformation and loading (ETL) process. Our solution works with all HR systems and addresses all types of data quality issues- including completeness, validity, anomalies, and inconsistency across sources.
Together, we’re transforming an industry and making it easy for companies to achieve their goals for creating a better workforce.
Our solutions for mid-market, enterprise, and HR platforms include:
Contact UsTrusaic runs thousands of tests on HR data to identify data quality issues across five key dimensions: completeness, validity, consistency of information across data silos and between data fields, and anomaly detection.
What types of HR data do you clean? ExpandThere are four core data silos that we focus on: Payroll, HR, time and attendance, and health and benefits. Our patent supported Workforce Analytics Machine® (WAM) technology quickly and easily extracts workforce data from structured and unstructured data sources and works with any payroll or HR system.
How does your artificial intelligence and machine learning work? ExpandWorkforce Analytics Machine® (WAM) AI algorithms leverage two patents and over 20 years of operating experience in data quality management to automatically detect errors and root cause so that we can correct or instruct our clients what to repair at the data field level. Our machine learning algorithms improve the technology by improving the statistical models used to determine whether an anomaly is signal or noise.
Doesn’t my HR platform take care of this for me? ExpandHR technology is primarily focused on siloed systems based on inputs and outputs that are often prone to human error. Trusaic has devoted decades developing proactive issue detection technology and has the ability to analyze and clean your data across all platforms.
Why are HR platforms working with Trusaic? ExpandIt’s expensive and time consuming for organizations to make decisions based on missing or inaccurate data. IRS penalties, employee turnover and poor reputation are just some of the risks your organization faces when running analytics on dirty data. We can help you improve ROI, customer retention and satisfaction, and we only charge for issues found.
How do I get started? ExpandIf you are a midmarket to enterprise level organization or an HR platform and would like help with data quality, simply contact us for a complementary data quality assessment.
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