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Overview

Pre-Built Analytics & Reports

  • PRE-BUILT, ready-to-go analytics and reports
  • Built on class-leading visualization & report tech
  • Customized to your unique needs
  • Self-service BI to advanced analytics

Full Employee Lifecycle

  • Recruiting/ATS
  • Staff Diversity, Inclusion, & Equity
  • Compensation & Benefits
  • Employee Engagement
  • Performance Management
  • Time Attendance/Absence
  • Learning & Development
  • and more!

HCM & People Analysis

  • Recruiting funnel & turnover/attrition
  • Diversity, Equity & Inclusion
  • Succession planning
  • Flight risk & retention
  • Competency/Skills alignment & evaluation
  • KPI, MBOs, OKRs and other metrics
  • Performance evaluation
  • Total Compensation budget vs planned
  • and much more!
HCM & People Analytics

Mobile Ready

  • Apple/Android native apps – not just a webpage
  • Easy navigation
  • Mobile specific layout
  • Super easy customizations

Built on Class Leading Tools

  • Power BI
  • Power BI Report Builder (SSRS)
  • Looker
  • Tableau
  • Crystal Reports
  • BIRT
HCM Analytics - desktop mobile

Data Engineering/Management

  • Manage data from any HCM Vendor
  • Customized to fit your company’s needs
  • Supplement or replace existing Data systems
  • Move your data to secure, scalable cloud systems

Cloud Data Warehouses

With so many choices, how do you know what data tech you need? We help organization understand and implement data solutions that:

  • Analyze data in near real-time
  • Scale for many users or heavy-duty analysis
  • Easily manage resources and reduce cost
  • Replace or compliment existing technology

Data Integration, ETL/ELT

Like our data storage and warehouse services, we help organizations with tools to manage data chaos:

  • Migrate data for near real-time analysis
  • ETL/ELT & API development
  • Integrate HCM, Data Warehouse/Lakes/Marts, etc.
  • Data Cataloging, Governance, & Quality services
Data from any HCM vendor?
Yes
SAP?
Yep
Workday? Oracle?
Absolutely
Which others?
How's this?

The Case for Data Catalog

The problem:
  • <1% of total data points are needed for analysis/reporting
  • The amount and variety of data is increasing at a rapid rate
The Data Catalog solution:
  • Lets you focus on the <1% of data that matters
  • Easier discovery & deeper understanding of data
  • Provides lineage showing data origin, ownership, transformation, dependencies