---
title: Analytics
slug: manufacturing-connect-edge-v2/analytics
docTags: 
createdAt: 2022-03-30T21:10:36.000Z
---

You can use the *Analytics *module to create and manage analytics flows. Analytics flows enable you to process and analyze data at the edge. A flow includes a series of connected processors, using at least one of the following types: 

- **Input**: Retrieves data from a tag, database, or generator. See [Input Processors](docId:2Xzb8kiDbYzaVJ7rQ-n7x) for details.
- **Function**: Processes the input data using built-in:
  - KPIs (Key Performance Indicators). See [Key Performance Indicators](docId\:GSiNmt9psnDga1Re0NdhP) for details.
  - Statistical functions. See [Statistical Functions](docId:5rAjNUX-ihl22jTmR0jZ6) for details.
- **Output**: Writes the function results to a tag or databases. See [Output Processors](docId\:MOajvzJGaTHX1CwL3WWvB) for details.

See [Create an Analytics Flow](docId\:ayg-_jr6-Mt3z5WhsvY26) and [Add Processors and Processor Connections](docId\:npKRHfEFmRI9KCvOShRDo) to learn more. 

Review [Analytics Guides](docId:_RTbnjCuaomWwYQzSSIY3).

:::hint{type="warning"}
**Important**: You may see the following error message when working with Analytics: `"Http failure response for /analytics/v2/version: 0 Unknown Error"`. If you see this message, disable any ad-blockers your browser may have.
:::


You can build a flow manually by adding instances and then connecting them with one of the following connection types.

- **Events** (individual data source): Used only for both input/function and function/output connections. Makes the receiving processor react to each individual data value immediately.
- **Values** (combined data sources): Used only for input/function connections. Makes the function processor wait for values from all of the combined data sources before reacting. For example, if the function processor compares values from input processors A and B, it will wait for a value from both A and B before performing the comparison. 

You can also add a flow in a more automated way. See [Create an Analytics Flow](docId\:ayg-_jr6-Mt3z5WhsvY26) for details. 



The Analytics module also enables you to use Machine Learning models for prediction, classification, and anomaly detection. You can create and save a model from [TensorFlow](https://www.tensorflow.org/guide/saved_model). A saved model contains a complete TensorFlow program, including weights and computation.

The Analytics UI includes the following panes:

- **Instances**, where you can:
  - Create and manage processors and flows
  - View the** Debug **panel
  - Organize your flows into groups
- **Instances Table**, where you get tabular view of Instance flows created
- **Models**, where you upload and remove models.

# Access Analytics UI

**To access Analytics:**

1. Log in to Manufacturing Connect Edge.
2. From the Navigation panel, select **Analytics**.
   The *Analytics *canvas appears.
   ::Image[]{src="https://api.archbee.com/api/optimize/SSUUxKZUk9bFTEPNn_6Zo/4aLwSBvhmNJ7ddIbfCNWi_analytics-lp.png" size="80" width="1080" height="547" caption="Analytics canvas" position="center" showCaption="true"}

# Next Steps

- [Analytics Flows and Processors](docId:0AvDce3M59yQk8uX0GYtV) 
- [Analytics Flow Groups](docId\:Xth-KrxHFiV2lXwUX5Iit) 
- [Instances Table](docId\:m0bjkSEvkDozn9THhw6UB) 
- [Machine Learning Models](docId\:Dw4DkeaCNYKK8ku0E_MpM) 
- [Input Processors](docId:2Xzb8kiDbYzaVJ7rQ-n7x) 
- [Output Processors](docId\:MOajvzJGaTHX1CwL3WWvB) 
- [Statistical Functions](docId:5rAjNUX-ihl22jTmR0jZ6) 
- [Key Performance Indicators](docId\:GSiNmt9psnDga1Re0NdhP) 
- [Analytics Guides](docId:_RTbnjCuaomWwYQzSSIY3)