---
schema_version: "1"
id: 84a5471010303b5a75d1f74e020a0cabd5793fb34edce73ed2160e1a16c95c5c
title: Processing Historical Data for Reach Data Streams
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/mktg/264-0-0/dato_data_reach_processing_historical.md
canonical_url: https://help.salesforce.com/s/articleView?id=mktg.dato_data_reach_processing_historical.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: e6df6c1b69537d153cfd1c82a50c989fe7ec2650e21f70f3302fa946e82e1aac
description: When manually processing data streams, Marketing Cloud Intelligence doesn’t consider the sliding window. Data needs to be processed in one month increments to ensure integrity of reach data is not compromised. You have to be conscious of how your regular retrieval is set up - to ensure that the newly loaded historical data and what you will regularly receive in the data stream are even comparable.
products:
  - Marketing
  - Marketing Cloud Intelligence
release: "264"
---
# Processing Historical Data for Reach Data Streams

When manually processing data streams, Marketing Cloud Intelligence doesn’t consider the sliding window. Data needs to be processed in one month increments to ensure integrity of reach data is not compromised. You have to be conscious of how your regular retrieval is set up - to ensure that the newly loaded historical data and what you will regularly receive in the data stream are even comparable.

When processing historical data:

- Consider the sliding window date range, and select the entire date range for each date you process. For example, if you want to process reach data for April 2, 2022, and you have a sliding window of 31 days, select 31 days before April 2, 2022:03/02/2022 to 04/02/2022.
- To get a reach value for each individual date, manually set the sliding window for each day. For example, process reach for April 1, 2022, select the date ranges from March 1, 2022, to April 1, 2022 (31 days).