Difference between revisions of "Covid-19 - dataZoa Tools for Data Gathering and Sharing"
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| − | ==dataZoa | + | ==dataZoa is made for seamless data flows== |
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| + | '''Meeting Ad-hoc Requirements for Rapid Data Collection, Analysis, and Sharing''': For the next several weeks and months, the status-quo for data, forecasting and analysis is out the window. New data sources and analyses are going to be required, with speed and agility. dataZoa is built for demands like this, and here are some some of the key ways it can be used. | ||
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| + | ==The dataZoa API is Opened Up for the duration...== | ||
| + | Important Note: | ||
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| + | ==dataZoa Tools and Facilities to Consider== | ||
'''A Usage Scenario''': You want to monitor payment arrears from regional utilities for reporting and forecasting for emergency payment assistance. | '''A Usage Scenario''': You want to monitor payment arrears from regional utilities for reporting and forecasting for emergency payment assistance. | ||
Revision as of 11:16, 30 March 2020
Contents
- 1 dataZoa is made for seamless data flows
- 2 The dataZoa API is Opened Up for the duration...
- 3 dataZoa Tools and Facilities to Consider
- 3.1 Automating Ad-Hoc Data Collection
- 3.2 Automated Normalization, Consolidation, Indexing, etc.
- 3.3 Graphs and Tables Without any Programming
- 3.4 Dashboards Without any Programming
- 3.5 Connect to Applications Beyond the dataZoa Ecosystem
- 3.6 Feed Excel Spreadsheets with Automated DataFlows
- 3.7 Connect DataFlows to and from other databases and programs with the dataZoa API
dataZoa is made for seamless data flows
Meeting Ad-hoc Requirements for Rapid Data Collection, Analysis, and Sharing: For the next several weeks and months, the status-quo for data, forecasting and analysis is out the window. New data sources and analyses are going to be required, with speed and agility. dataZoa is built for demands like this, and here are some some of the key ways it can be used.
The dataZoa API is Opened Up for the duration...
Important Note:
dataZoa Tools and Facilities to Consider
A Usage Scenario: You want to monitor payment arrears from regional utilities for reporting and forecasting for emergency payment assistance.
Automating Ad-Hoc Data Collection
Find a point of contact within each utility who is willing to contribute total customer payment arrears on a weekly basis; just a few simple stats like number of accounts and total dollars. A dZSlate gives each of them an input screen (passworded and sandboxed), scheduled reminder emails, and their numbers flow into your dataZoa account. From there you have a central spot to review, cleanse, and then approve the figures for downstream use. The weekly contributions are automatically accumulated as normalized time-series which will then flow to dashboards, charts, displays and connected models.
Automated Normalization, Consolidation, Indexing, etc.
Your gathered data streams feed dataZoa calculations to produce derived streams, such as total arrears or percentage changes. These streams similarly automatically feed downstream uses.
Graphs and Tables Without any Programming
Displays is the collective term for:
Charts, Tables, LatestValues, dataBlocks and Widgets
that have their own URLs and can be used outside your dataZoa account.
Common Features
All dataZoa displays share some common features:
- Live - automatically updated whenever underlying data or calculations change
- Embeddable, with a unique URL you can put into web pages, blogs, etc.
- Can be circulated point-to-point by email or SMS
- Shareable, through dZBoards
- Automated footers, for attributions, exporting, etc.
