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DATA ACCESSIBILITY.

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Presentation on theme: "DATA ACCESSIBILITY."— Presentation transcript:

1 DATA ACCESSIBILITY

2 Dustin Amesbury DJ Bouchier Nishad Amin Product Manager Chief Architect Sr. Director - Data

3 Problem Statement How can I access my data to be most effective in solving the problems facing my business? Goal Understand and help prioritize Product and Development efforts surrounding Data Accessibility.

4 Data Access Strategies
Reporting Database Separate database designed for reporting and custom queries Index optimization for querying Data synced at regular intervals from transaction database Data Warehouse Different schema designed for business intelligence Data optimized for analytical purposes

5 Data Access Strategies
Data Restore Copy of the database is restored on a nightly basis Database schema and indexes are identical to the transactional database Data Replication Data changes are synced to the reporting database on regular intervals Data is much more up to date then restore Only data changes are moved

6 Data Access Strategies
Do I want a reporting database or data warehouse? Reporting database provides: Detailed transactional data Data warehouse provides: Analytical data

7 Application Programming Interface (API)
APIs allow applications (“apps”) to communicate with one another An API is the layer that governs the access points to a server

8 API – Data Representation
JSON – JavaScript Object Notation XML – eXtensible Markup Language

9 API Avionte API Enables development of integrations by Partners, Customers, and Avionté Provides data access for the following domains today: Talent Company Order Assignment

10 API – What does this mean for me?

11 Business Intelligence – Technology
Data Warehouse - Sisense Different schema designed for business intelligence Data optimized for analytical purposes Data synced at regular intervals from transaction database

12 Business Intelligence – Use Cases
Data Driven Recruiting Funnel Analytics Coaching Sales and Recruiters with ratios backed by real data Client Engagement Using analytics to show value to existing clients Using analytics to  show value to prospective clients

13 Business Intelligence – Use Cases
Forecasting Contractor Forecasting and Gross Profit Analyzing weekly falloffs and impact to GP Predictive Analytics Using current Win/Fill rates, Open Orders to predict Gross Profit

14 What’s Next Back Office BI Data In progress Go beyond APIs with Events
Delivered with our April and July releases

15 THANK YOU FOR YOUR FEEDBACK!
Rate this session! Open the Bizzabo app Select the Agenda tab from the main screen Locate this session by Name, Date and Time “Rate” the session (0-5 hearts) Scroll to the bottom & click Take Poll to leave more commentary THANK YOU FOR YOUR FEEDBACK!

16 Questions?


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