Build
Visier
Roll out
Create Metadata
Security Ops & Test
Full Load and Test
Validation
Prepare Servers
Architecture and Design
Analysis and Definition
Scope and Plan
Build and Test
Number of Steps for Your Team
Build
Questions Answered?
ZERO
Begin building queries, dashboards, and visualizations.
900+
available
analytics
Begin building queries, dashboards, and visualizations.
ZERO
Questions Answered?
Questions Answered?
Build
Visier
Visier
Build
Visier
900+
available
analytics
Build
ZERO
Begin projects for each report and dashboard needed.
Build
Begin building queries, dashboards, and visualizations.
ZERO
A metadata catalog vastly increases the usability of a data store by identifying the data, it's source, and how it interacts and connects across sources and silos. Without a catalog, the number of users that can leverage the data in the data store effectively is limited to those who were involved in the build.
More About Metadata
Scope and Plan
Determine the objectives of the project and the investment required, both financial and talent. Calculate a budget, with contingencies for overages, and get approval.
Analysis and Definition
Define your requirements, identify your source data, and the transformations required. Determine how to get your current data, assess the state it’s in and if it will work for your needs, and finally identify the integration requirements.
Architecture and Design
Design your mappings, design your workflows, refine your architecture, design your standards, and map out storyboards by business requirements.
Prepare Servers
Prepare and configure the data warehouse or data lake server and prepare the reporting/analytic server.
Validation
Create and test code for the integration schema for each data source. Extract your sample data, clean, normalize and validate it, then test the data loading process. Perform UAT and validate storyboards.
Full Load and Test
Build an optimized data extract, performance tune the data loading process, and load current and historical data. Validate the BI applications, data, and the storyboards and conduct systems testing.
Build and Test
Develop and test your data integration code.
Develop and test your BI applications.
Develop and test your storyboards.
Security Ops & Test
Provide access to the data store to approved users, by function, by type of data, by organization. Then verify your BI and data integration operations by subsystem. Build and verify additional security roles for users of your BI applications. Create another layer of security at the report level for final end users.
Create Metadata
Create a structure, identify core attributes and sources, and identify your data experts. Add your catalog to a Master Data Management tool. Establish a metadata review process to keep it current.
Roll Out
Test and verify your production monitoring and controls by subsystem. Rollout to your report writers to begin building queries, reports, and dashboards. Repeat project plan to add new subject areas.
A metadata catalog vastly increases the usability of a data store by identifying the data, it's source, and how it interacts and connects across sources and silos. Without a catalog, the number of users that can leverage the data in the data store effectively is limited to those who were involved in the build.
More About Metadata
Scope and Plan
Visier provides you with help proving the ROI for an analytics project and explains how and when your team will contribute to the implementation. Our pricing for unlimited users, and onboarding and adoption services are fixed, so you can plan with certainty.
Analysis and Definition
Already built and modeled, with the data points identified there is nothing to model or build in Visier People. We’ll assess and prepare your data with you.
Architecture and Design
Do nothing. Already built and modeled, we just need to map your data columns to our prebuilt solution.
Prepare Servers
Do nothing. Visier is hosted and so maintains all of the infrastructure.
Validation
Visier will configure and test the integration schema for each of your data sources, and use our built-in tools to analyze your data quality. We’ll help you clean and transform the data, then walk you through the available metrics and analyses for UAT.
Full Load and Test
You provide an optimized data extract and Visier will load it. Together we’ll validate the solution and the available metrics and analytics.
Build and Test
Do nothing. Visier is prebuilt.
Security Ops & Test
Create role-based security for all users, admin through to report consumers, for data, capabilities, and analytic content. Visier verifies the BI and data integration operations.
Create Metadata
Do nothing. The prebuilt Visier data model includes metadata.
Roll Out
Rollout Visier to all identified users for self-service access to the leading-practice people analytics questions. Visier maintains and adds to the data model so you can add new subject areas at any time.
Scope and Plan
Number of Steps for Your Team
Analysis and Definition
Architecture and Design
Prepare Servers
Validation
Full Load and Test
Build and Test
Security Ops & Test
Create Metadata
Roll out
Questions Answered?