Supply Intelligence is a turnkey analytical application for Supply Chain, that allows to assess the Resilience of your Supply Chain across 5 pillars:
- Supply vs Demand Reliability
- Inflation Impact
- Logistics Reliability
- Quality Reliability
- Inventory Availability

Not only will this Accelerator save you a year's worth of work, but most importantly, it will provide you with immediate business outcomes:
- Measure the impact of crisis: inflation, shortages, stock-outs
- Anticipate disruptions and define priorities
- Improve sourcing strategy: eradicate single supplier dependencies for instance
- Optimize inventory management: replenishment process, buffer stocks, inventory controls
- Identify bottlenecks and identify alternative sourcing plans

### Answer key business questions

- How resilient are my Products / Materials / Suppliers?
- How are we exposed to material price increases?
- Are we delivered on time?
- Do we receive a lot of defective materials?
- Is our demand for materials fulfilled?
- Do we have enough stock to meet upcoming demand?
- Are we able to meet customer demand?
- Are we able to deliver to our customers on-time / in-full?
- Do we face a lot of returns because of defective products?


### Monitor and improve KPIs

- Supply vs Demand: Supply, Demand, Shortages
- Price: Price Index, Average Buying/Selling Price
- Logistics: Delivery Time , Replenishment Time,  OTIF %
- Quality: Defects (Qty, $, %)
- Inventory: On-hand Quantity, Out-of-Stock, Below Safety Stock, Over Stock, Missing Stock...
- Resilience: for each Product, each Material, and each Supplier
- ... a total of 80+ KPIs


### Required attributes

10 tables are required, linked by a pivot table:
- Materials   [4 attributes]
- Materials Purchases   [21 attributes]
- Suppliers   [5 attributes]
- Materials Inventory   [10 attributes]
- Bill of Materials   [2 attributes]
- Products   [4 attributes]
- Products Inventory   [10 attributes]
- Products Sales   [19 attributes]
- Warehouses   [4 attributes]
- Customers   [4 attributes]

Documentation will soon be available.

Supply Intelligence

Supply Intelligence is a turnkey dashboard for Supply Chain

Free

Supply Chain & Manufacturing

Built by Tableau + Salesforce

Expert

English

Desktop

The Accelerator for Fraud, Waste, and Abuse shows you which submissions for your program benefits are potentially fraudulent. In order to see possible fraud in your own program, you need to analyze prior periods of data to establish the KPI thresholds and other indicators for potential fraud. 
Avaap is here to make you successful.

### Answer Key Business Questions
- What's the financial impact of potentially fraudulent applications?
- How many applications did we receive over the last three months?
- What was the total amount disbursed to these applicants?
- What geography/demographics trends do we see in potentially fraudulent applications?
- What percentage of applicants used a bank account, email address, or phone number previously used by at least one or more other applicants?

### Monitor and Improve KPIs
- Application volume by state
- Likelihood of fraudulent application
- Duplicate bank account submissions
- Duplicate IP address submissions
- Duplicate e-mail submissions
- Duplicate address submissions
- Duplicate phone submissions

### Required Data Attributes
Data Source: Program Summary
- Predictive Score Range (string)
- Historical Count of Fuzzy E-mail (string)
- Historical Count of IP Address (string)
- Historical Count of Phone (string)
- Application Sub-Type (string)
- Application Submit Day (date)
- Application Type (string)
- Benefit Program (string)
- E-mail  (string)
- Fuzzy E-mail  (string)
- IP Address  (string)
- Last Paid Date (date)
- Person ID (string)
- Phone Number (string)
- Predicted Disposition (string)
- Predicted Score (int)
- Person ID (string)
- State (string)
- Total Amount Paid (string)

Data Source: Daily Summary
- Application Submit Day (date)
- Benefits Program (1/2) (string)
- Daily Applicant count by Program (int)
- Daily Duplicate Address Count (int)
- Daily Duplicate Bank Count (int)
- Daily Duplicate E-mail Count (int)
- Daily Duplicate IP Count (int)
- Daily Duplicate Phone Count (int)


Fraud, Waste, and Abuse

Monitor and predict fraudulent submissions for claims benefits

Public Sector

The Accelerator for Productive Maintenance enables you to see how your equipment is performing in real-time and resolve issues proactively. This solution seamlessly aggregates factory floor equipment data, like temperature and vibration, into dashboard in Tableau. This Accelerator models the data, and a business user can pre-define business criteria to trigger equipment maintenance work orders in a servicing case management system. As a result, the entire operations team can rely on near real-time data to manage the health of production equipment and optimize production demands. Manufacturers can make use of their own factory data to minimize equipment-related disruption.
Critical business outcomes that this Mulesoft + Tableau + ServiceCloud Accelerator enables:
- Plants can reduce downtime more efficiently
- Operations can conduct the required maintenance at the right time
- Organizations can improve employee engagement and worker safety

This Accelerator sends data from OSIsoft PI System (a data historian that collects data from sensors, intelligent electronic devices (IEDs), distributed control systems, programmable logic controllers (PLCs), and lab instruments) to Amazon Redshift, a data warehouse product. Next, the Accelerator uses the in-built functionality in Tableau, a data visualization tool, to visualize the data. Once the equipment data is analyzed, business users can define logic in Tableau to trigger work order creation in the Service Cloud. Analyzing critical floor equipment data in near real-time improves the health of production equipment and drives overall operational efficiency.

[Learn more about the systems integration from Mulesoft.](https://www.mulesoft.com/exchange/org.mule.examples/mulesoft-accelerator-for-manufacturing/minor/1.2/pages/Use%20case%203%20-%20Total%20productive%20maintenance/) and from the images below. It's worth noting that you can swap out the data end points, and the Accelerator will still work, i.e., the Tableau + Mulesoft Accelerator will work with any data historian or structured data warehouse.

Thanks to our Partners at Atrium for providing the dashboard for this Accelerator. [Get in touch with them directly to find out about their Salesforce + Tableau and Manufacturing expertise.](https://atrium.ai/contact/)

### APIs 
System APIs
- MFG OSIPI Machine Data System API - [API Specification](https://anypoint.mulesoft.com/exchange/org.mule.examples/mfg-osipi-machinedata-sys-api-spec/) | [Implementation Template](https://anypoint.mulesoft.com/exchange/org.mule.examples/mfg-osipi-machinedata-sys-api/)
- MFG Redshift Machine Data System API - [API Specification](https://anypoint.mulesoft.com/exchange/org.mule.examples/mfg-salesforce-rebate-sys-api-spec/) | [Implementation Template](https://anypoint.mulesoft.com/exchange/org.mule.examples/mfg-salesforce-rebate-sys-api/)
- MFG Salesforce Cases System API  - [API Specification](https://anypoint.mulesoft.com/exchange/org.mule.examples/mfg-salesforce-cases-sys-api-spec/) | [Implementation Template](https://anypoint.mulesoft.com/exchange/org.mule.examples/mfg-salesforce-cases-sys-api/)

Process APIs
- MFG Machine Data Process API  - [API Specification](https://anypoint.mulesoft.com/exchange/org.mule.examples/mfg-machinedata-prc-api-spec/) | [Implementation Template](https://anypoint.mulesoft.com/exchange/org.mule.examples/mfg-machinedata-prc-api/)

Experience APIs
- MFG Tableau Machine Data Experience API  - [API Specification](https://anypoint.mulesoft.com/exchange/org.mule.examples/mfg-tableau-workorders-exp-api-spec/) | [Implementation Template](https://anypoint.mulesoft.com/exchange/org.mule.examples/mfg-tableau-workorders-exp-api/)

### Answer Key Business Questions
- How well is each machine performing?
- Which machines are performing outside of the acceptable range for their variables?
- Where do I need to take action right now to prevent or remediate issues?

### Monitor and Improve KPIs
- Noise
- Oil level
- Temperature
- Vibration
- Vibration delta

### Required Data Attributes
- Date (date)
- Line (string)
- Machine ID (string)
- Reading ID (int)
- Reading Timestamp
- Noise (Db) (int)
- Oil Level (int)
- Temperature (int)
- Vibration Delta



Productive Maintenance

Monitor equipment performance and resolve problems

Portugese

Localize listing name

Spanish

Chinese - Simplified

Korean

Energy

Japanese

The Tableau Accelerator for Recurring Revenue gives you a jumpstart to getting data-driven insights for improving revenues from your recurring activities. Sales Managers can use this Accelerator to better understand how the revenue they generate is composed and how their account base is evolving to grow their business.
Use this Accelerator to:
- Get a clear view of your total revenue and how it is composed between recurring revenue and One-Time fees (OTF)
-  Have a good knowledge of your customer base and the impact of its evolution on your revenues.
- Identify your top-performing products
- Identify your top customers

### Answer key business questions

- How is our revenue composed ?
- How has the evolution of my Product Group base impacted our Total Revenue? 
- How is our customer base growing?
- What are our top-performing Products / Accounts?


### Monitor and improve KPIs

- Active Accounts #
- Active Contracts #
- Contract Term Length (in months) 
- Period Recurring Revenue
- ARR (Annual Recurring Revenue)
- MRR (Monthly Recurring Revenue)
- One-Time fees (OTF)
- Recurring Revenue %: [Period Recurring Revenue] / [Total Revenue]
- Total Revenue: [OTF] + [Period Recurring Revenue]
- Revenue by Account: [Total Revenue] / [Active Accounts #]
- New Active Accounts #


### Required attributes

- Contract Month (date)
- Contract Id (string)
- Account (string)
- Product (string)
- Product Group (string)
- Contract Start Date (date)
- Contract End Date (date)
- Monthly Recurring Revenue (numeric)
- One Time Fee (numeric)


Recurring Revenue

MRR (Monthly Recurring Revenues), ARR, One-Time Fees, Customer Churn,...

Sales

The Accelerator for Revenue Operations provides executives with a bird’s-eye view of their revenue and customer health. To stay competitive and ensure that you achieve your growth targets, you need confidence that your predicted revenue forecast will be achieved and have prescriptive insights on which customers may churn–what to do about it. This Accelerator provides insights into critical areas of your revenue operations and customer success with metrics like At-Risk ARR, % of customers at risk for churn, Total ARR, and cost to replace lost revenue. Additionally, you can drill into market/segment views, net promoter score (“NPS”) tiers, propensity/purchasing activities, and renewal patterns.

[Connect directly with our Partners at Atrium](https://atrium.ai/contact/) to find out how they can help you with revenue operations and customer success analytics.

### Answer Key Business Questions
- How much of our revenue is at risk for non-renewal, and what percentage of our business is it?
- How is renewal risk trending over the previous period?
- How many/what percentage of our customers are at risk?
- If we lose this revenue, how much will it cost us to replace it?
- What is the renewal risk across our product lines and customer segments? 
- How does Net Promoter Score ("NPS") relate to renewal risk?
- What's the relationship between renewal risk and engagement with our customer success team?
- Who are the customers with whom we can take action right now to mitigate risk and work to ensure renewal?

### Monitor and Improve KPIs
- At risk ARR
- % of customers at risk for churn
- Total ARR forecasted 
- Cost to replace lost revenue

### Required Data Attributes
- Churn Date (date)
- City (string)
- Contact ID 
- Contract Length (string)
- Cross-sell Propensity (string)
- Customer Success Manager ID (string)
- Customer Name (string)
- Last Major Service Incident (string)
- Month Start (date)
- Net Promoter Score ("NPS) (string)
- Combined Risk (boolean)
- Predicted Risk Category (string)
- Product Category (string)
- Region (string)
- Segment (string)
- State (string)
- Subscription Tier (string)
- Support Tier (string)
- Utilization (string)
- Zipcode (string)
- Annual Recurring Revenue ("ARR") (float)
- Customer Relationship Duration (int)
- Downtime % (float)
- Number of Renewals (int)
- Predicted Replacement Cost (float)
- Attrition Risk (float)
- Product Category ID (int)
- Product Count (int)
- Total Gaps (int)
- Utilization % (float)

Revenue Operations

Understand customer risk and take action to ensure achievement of growth targets.

This connector provides a smooth and easy way to connect to Salesforce Marketing Cloud. Through this connector, customers can leverage APIs provided by Salesforce to extract data from their Marketing Cloud instance for analysis in Tableau.

Salesforce Marketing Cloud

Tableau connector to Salesforce Marketing Cloud.

**Tableau on Firebolt**

The Firebolt connector for Tableau delivers sub-second query speeds on live connections, thus enabling truly interactive analytics experiences without needing to compromise on data volume, freshness, or latency.

**About Firebolt**

Firebolt is the cloud data warehouse for builders of next-gen analytics experiences. Combining the benefits and ease-of-use of a modern architecture with sub-second performance at terabyte scale, Firebolt helps data and dev teams deliver data experiences that end users love.

Built on a cloud-native decoupled storage and compute architecture, Firebolt eliminates traditional challenges associated with provisioning, scale and resource utilization. Firebolt’s optimized storage format and tightly coupled indexing techniques make even the most challenging workloads fast and efficient, without the need for lengthy and customized engineering efforts.

Firebolt

Firebolt is the cloud data warehouse for next-gen analytics experiences.

Palantir Foundry is the world’s leading platform for data-driven operations and decision making. This technology, forged through years of direct experience with complex institutional data challenges, re-unifies companies around their central mission. It enables them to become fully digital "connected companies". Once data has been integrated, cleaned, and validated, the Palantir Foundry JDBC driver provides a SQL interface to Foundry datasets to easily access data and visualize it in Tableau dashboards.

Palantir Foundry

A Tableau Connector Plugin for Palantir Foundry

The Couchbase Analytics Tableau connector provides familiar and secure native Tableau connectivity so that you can quickly visualize and analyze your operational JSON data. It uses Couchbase Analytics tabular views to annotate your data with type and relationship information for Tableau and provides an easy-to-use SQL-based interface to support your analytics-driven query needs. This connector works with Couchbase Server v7.1 and later.

Couchbase Analytics

The Couchbase Analytics Tableau Connector enables visual operational data against JSON data

The ClickHouse ODBC connector is an Apache 2.0-licensed Tableau connector for ClickHouse tables. You will need to install the ClickHouse ODBC driver as a prerequisite. Once installed you can connect to ClickHouse servers and access tables using the full power of Tableau.

Altinity Connector for ClickHouse

Enable Tableau access to ClickHouse data via ODBC.

The Add Filters Extension lets dashboard authors customize which filters are visible on a dashboard. Empower dashboard consumers to customize the dashboard by adding filters that meet specific needs. It aids in quicker exploration of data without the need to contact the original author to drive change requests for adding desired filters to the dashboard and reduces the visual clutter of irrelevant filters. 

Add Filters is an object that authors add to their dashboards which then opens up this new capability for consumers. Once end-users have a filter configuration that suits their needs, they can create a custom view to save their work.


Add Filters Extension

Add Filters offers customized dashboards by showing/hiding filters, parameters, pages, & sheets

Sandboxed

Simple Tableau Extension that allows users to create styled backgrounds for their Dashboard objects and containers. Leverages Bootstrap CSS, Tailwind CSS color, and additional extended classes.

Addition documentation can be found here [Github Link](https://github.com/FsuLauncherComp/BootstrapTableau) 

Documentation

TabCSS

Style Tableau Objects and Containers using simple CSS Classes

Sunburst charts help us visualize hierarchical data and provide quick summaries. 

But in most cases, when the breakdowns are more at each level, inference gets tougher. That's the problem we are solving with this Dynamic Sunburst Chart by adding the ability to drill down. 

After a quick configuration, the extension will visualize your data as a Sunburst Chart, and any interaction on the chart will drill it down to the next level. 
This helps the user get both the high-level and individual element-specific from the same chart or widget. 

Dynamic Sunburst Chart

Dynamic sunburst chart helps you visualize hierarchical data instantly and explore with drill-downs

Insight into data requires users to build performant data models. Key and unique constraints provide structures to access data efficiently. Key Finder mines a data source to automatically find all valid key and unique constraints. Sample data and various measures of validity help users choose the key and unique constraints helpful for tasks such as managing entity and referential integrity, defining index structures, identifying dirty data, and finding all ids that reference the same entity.

### Use cases:
1. **Data Integration:** Key Finder is capable of automatically discovering keys that hold exactly on your dataset and checking the degree to which any other attribute combinations hold as keys. This information serves as a foundation for finding correct foreign keys and joining tables.
2. **Data Quality:** A very common problem that exists in production databases is data duplication. The same entity will often appear more than once in a table with different auto-generated ids. Key Finder makes it easy to quickly discover if this problem is present in your data.
3. **Performance Optimization:** One of the most important aspects of building a performant data model is choosing the right indexes to speed up data access. Key Finder quickly finds and suggests all attribute combinations that may serve as indexes.

Additionally, Key Finder automatically calculates metadata for sampled tables such as the number of null values and the number of distinct not-null values in the original table.

### Licenses

**Free** – This is a demo version of the extension available when you access it through the Tableau Exchange. It has some limitations compared to the full version that make it suitable for testing and evaluation purposes only. The restrictions for the demo version are: tables that are sampled cannot contain more than 1 million rows, samples are only stored for 1 hour and permanently deleted after that. Additionally, the demo version runs on our servers and cannot be deployed to the infrastructure that you manage.

**Paid** – None of the restrictions of the demo version apply to the full version. Please contact us if you are interested in purchasing the full version.

To find out more about **pricing** and watch a **demo video** of this dashboard extension, please visit our [website](https://viadotto.tech).

Key Finder

Key Finder mines keys and unique constraints from a given data source.

The Inovista Animator is a web based application that allows users to import SVG images and create intelligent animations that change their behavior based on external data.
This Tableau extension allows a user to take a data-driven animation created in the Inovista Animator and load it into Tableau. Variables in the animation can be linked directly to Tableau data values or defined as user editable properties.

In the Animator, a full range of animations are available including Movement, Rotation, Scaling, Path Animation, Text Animation, Clipping, Masking, Text Offsets, Morphing and Wave Motions. Animation can also be driven by events such as mouse clicks.
 
Highlights:

This extension will take any animation created in the Inovista Animator and convert it into a Tableau component. Animations may be charts or infographics driven by Tableau data or simply decorative items such as moving logos.

The animations can be exported from the Animator as JSON files or they can be copied to the clipboard. In Tableau, the JSON file can be loaded or can be pasted directly from the clipboard.

In the Animator, all aspects of the animation can be modified by creating variables, for example, how much of an image to display to simulate a bar chart. Each variable can be defined as either a data item or property. In Tableau, data items are linked to Tableau data and properties can be set by the user. 

Examples of properties may be fonts or colors. 
Once defined, data values can be updated by a filter and/or parameter change. 
View a short YouTube video to learn more:

The Inovista Animator for Tableau Extension: [https://youtu.be/OH9anhm7FZQ] 

View a short introduction to the Animator: [https://youtu.be/nCvLoHKSIxo]

Animator for Tableau

Create custom, data-driven chart and infographic animations based on any SVG image.

Tableau Exchange

Accelerators