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KIBO’s “Reporting” is used to retrieve and visualize statistics about tenant and storefront data. Built using Google Looker, KIBO provides thousands of reports, called “Looks”, out-of-the-box, while additional custom reports can be created as needed. All reports can be viewed within the KIBO platform, downloaded, emailed on a preset schedule, or exported as a file for external use. Keep those reporting is used to retrieve and visualize statistics about tenant and storefront data. Built using Google looker. Kibo provides thousands of reports called looks out of the box while additional custom reports can be created as needed. All reports can be viewed. Within the kibo platform downloaded emails on a preset schedule or export it as a file for external use. In this video, I’m going to demonstrate how to edit a “Look”. A “Look” is an individual report, chart, or measure, which is typically displayed as a “Dashboard” tile, but can be standalone as well. Since there are thousands of “Looks” in the KIBO platform, and an unknown number of custom “Looks” that can be created, this will not cover all possible configurations, but should instead be a great example of how powerful and flexible KIBO’s Reporting is. In this video, I’m going to demonstrate how to edit a “Look”. A “Look” is an individual report, chart, or measure, which is typically displayed as a “Dashboard” tile, but can be standalone as well. Since there are thousands of “Looks” in the KIBO platform, and an unknown number of custom “Looks” that can be created, this will not cover all possible configurations, but should instead be a great example of how powerful and flexible KIBO’s Reporting is. To navigate to “Reports”, in the left menu, on the “MAIN” tab, scroll all the way down and click “Reports”. To navigate to “Reports”, in the left menu, on the “MAIN” tab, scroll all the way down and click “Reports”. This is the KIBO “Reports” menu. We discussed the “Dashboard” layout and how to navigate the “Reports” menu in a previous video.As mentioned, in this video we’re going to walk through editing a single Look. This same process works for creating a new Look as well. This is the KIBO “Reports” menu. We discussed the “Dashboard” layout and how to navigate the “Reports” menu in a previous video. As mentioned, in this video we’re going to walk through editing a single Look. This same process works for creating a new Look as well. There are a few ways to initiate editing a Look. Hovering over the Look we want to edit, we can click the “Compass” icon. There are a few ways to initiate editing a Look. Hovering over the Look we want to edit, we can click the “Compass” icon. We can also click the “Ellipses” and then select “Explore from here”. Either of these actions will open the “Explore” window where we can begin editing the Look. We can also click the “Ellipses” and then select “Explore from here”. Either of these actions will open the “Explore” window where we can begin editing the Look. This is the “Explore” menu, where we edit Looks. We’ll discuss each section.Because there are thousands of different Data points within the KIBO platform, it would be impossible to discuss how each is used in “Reports”. Therefore, this will be a “general” overview of how to edit Looks in the “Explore” menu. This is the Explorer menu where we at it looks. We’ll discuss each section. Because there are thousands of different data points within the kibo platform. It would be impossible to discuss how each is used in reports. Therefore, this will be a general overview of how to edit looks in the explore menu. We’ll start with the Settings on the top right. First, we can change the relative “Time Zone” for this look by clicking on “Time Zone” and selecting a new one. The default is “America - Chicago”, which is the “Central Time Zone”. We’ll start with the Settings on the top right. First, we can change the relative “Time Zone” for this look by clicking on “Time Zone” and selecting a new one. The default is “America - Chicago”, which is the “Central Time Zone”. The “Run” button will reload the “Data” and “Visualization” on this Look. Anytime any “Data” is updated, this button will change from “White” to “Blue”, indicating a pending update. The Run button will reload the data and visualization on this look. Anytime any data is updated, this button will change from white to Blue indicating appending update. Clicking on the “Gear” icon opens a “Settings” menu with selectable options. Clicking on the “Gear” icon opens a “Settings” menu with selectable options. The first selection is “Save”. You can save this Look as a “new dashboard”, “to an existing dashboard”, or as a standalone “Look”. We’ll discuss the “Save” process a little later in this video. The first selection is “Save”. You can save this Look as a “new dashboard”, “to an existing dashboard”, or as a standalone “Look”. We’ll discuss the “Save” process a little later in this video. Next is the “Download”, “Send”, and “Save and Schedule” settings. We discussed “Download” in a previous video, and like “Save”, we’ll demonstrate the “Send” and “Schedule” processes a bit later in this video. Next is the “Download”, “Send”, and “Save and Schedule” settings. We discussed “Download” in a previous video, and like “Save”, we’ll demonstrate the “Send” and “Schedule” processes a bit later in this video. “Merge Results” allows users to merge “Data” from another “Category” with the current “Category”. For example, we are editing “Data Fields” from the “Orders” category, which is noted on the top left. “Merge Results” allows users to merge “Data” from another “Category” with the current “Category”. For example, we are editing “Data Fields” from the “Orders” category, which is noted on the top left. Clicking “Merge Results” opens a secondary “Explore menu” as a modal, where we can choose the secondary category we want to include in our Primary “Orders” Look results. In this example, we’ll click “Returns”. Clicking “Merge Results” opens a secondary “Explore menu” as a modal, where we can choose the secondary category we want to include in our Primary “Orders” Look results. In this example, we’ll click “Returns”. Similar to what we’ll do with the “Orders” category, we’ll add “Data Fields” that we want to include on this “Returns” Look, then click the “Run” button to generate the “Data” and “Visualization”. Once we have the “Data” we want, we’ll click the “Save” button on the top right to “Merge” these results with the primary “Orders” look.For simplicities sake, we won’t merge those results here so we can continue the demonstration on managing the data for the original “Orders” Look, but this is how the “Merge Results” process works. Similar to what we’ll do with the “Orders” category, we’ll add “Data Fields” that we want to include on this “Returns” Look, then click the “Run” button to generate the “Data” and “Visualization”. Once we have the “Data” we want, we’ll click the “Save” button on the top right to “Merge” these results with the primary “Orders” look. For simplicities sake, we won’t merge those results here so we can continue the demonstration on managing the data for the original “Orders” Look, but this is how the “Merge Results” process works. Back on our original “Orders” Look, the next setting is “Remove fields and filters”. This will delete all “Filters” and “Data” from this Look, allowing us to start over from scratch, if applicable. Back on our original “Orders” Look, the next setting is “Remove fields and filters”. This will delete all “Filters” and “Data” from this Look, allowing us to start over from scratch, if applicable. “Clear cache and refresh” will clear the data cache and reload the Look results. “Clear cache and refresh” will clear the data cache and reload the Look results. Next to the “Gear” icon is a “Folder” icon. This will open the “Folders” sidebar, where all saved Looks and Dashboards are located. We discussed this sidebar in an earlier video. Next to the “Gear” icon is a “Folder” icon. This will open the “Folders” sidebar, where all saved Looks and Dashboards are located. We discussed this sidebar in an earlier video. Next, let’s look at the “Orders” data fields sidebar on the left. This sidebar is our primary “Control Panel” for defining the data included in the Look. Data fields determine the “columns” and “values” that are pulled into the report “Visualization” and “Data table”, and the sidebar contains two important tabs: Next, let’s look at the “Orders” data fields sidebar on the left. This sidebar is our primary “Control Panel” for defining the data included in the Look. Data fields determine the “columns” and “values” that are pulled into the report “Visualization” and “Data table”, and the sidebar contains two important tabs: “All Fields”, which contain all available data points for the “Orders” category, which are organized into “Categories” and are accessible via dropdowns. “All Fields”, which contain all available data points for the “Orders” category, which are organized into “Categories” and are accessible via dropdowns. And “In Use”, which lists the currently active “Data” points and “Filters”. Filters are identified with the “Filter” or “Upside-down Triangle” icon to the right of the data field. And “In Use”, which lists the currently active “Data” points and “Filters”. Filters are identified with the “Filter” or “Upside-down Triangle” icon to the right of the data field. The sidebar has a “Search” field, where users can quickly search for specific “Data Fields” instead of scrolling and clicking on them. We can determine the “Type” of search filter that is used by clicking the “Search Options” link and then selecting the search filter. The sidebar has a “Search” field, where users can quickly search for specific “Data Fields” instead of scrolling and clicking on them. We can determine the “Type” of search filter that is used by clicking the “Search Options” link and then selecting the search filter. We can enter a term into the “Search” field, and the platform will automatically search for the term as we type it. We can enter a term into the “Search” field, and the platform will automatically search for the term as we type it. When we find the specific “Data Field” we are searching for, we can click on it to include it in the “Data” table. Hovering over it also reveals other options for this Data Field: When we find the specific “Data Field” we are searching for, we can click on it to include it in the “Data” table. Hovering over it also reveals other options for this Data Field: Clicking the “Arrows” icon allows users to “Pivot Data”; Clicking the “Arrows” icon allows users to “Pivot Data”; Clicking the “Filter” icon will add this field as a Filter to the Look; Clicking the “Filter” icon will add this field as a Filter to the Look; The “Information” icon will give us more information about this specific Data Field; The “Information” icon will give us more information about this specific Data Field; Clicking the “Ellipses” icon opens a setting menu where we can choose to “Aggregate” or “Group” this Data Field. “Aggregate” also includes the “Count distinct” and “List of unique values” options. Clicking the “Ellipses” icon opens a setting menu where we can choose to “Aggregate” or “Group” this Data Field. “Aggregate” also includes the “Count distinct” and “List of unique values” options. In addition to all of the “Out-of-the-box” Data Fields available, we can create “Custom Fields” to use in this Look. Clicking the “Add” link allows users to add a “Custom Dimension”, “Custom Measure”, or “Table Calculation”. In addition to all of the “Out-of-the-box” Data Fields available, we can create “Custom Fields” to use in this Look. Clicking the “Add” link allows users to add a “Custom Dimension”, “Custom Measure”, or “Table Calculation”. Scrolling through the “All Fields” Data Fields tab, we can quickly see the “Categories” that “In Use” Data Fields are being pulled from. In this example, the “Order” category has “7” Data Fields “In Use”, and the “In Use” fields are also highlighted. Scrolling through the all Fields data fields tab. We can quickly see the categories that in use data fields are being pulled from In this example, the order category has seven data fields in use and the in-use fields are also highlighted. Clicking open the “Filters” section, we can see all of the filters that are available for this Look. Here, we can set the filter “Default” selections via dropdowns, remove existing filters by clicking the “X” next to them, or adding new filters. We’ll discuss adding new filters shortly. If we look under the “In Use” tab on the Orders “Data Fields” sidebar on the left, the 5 existing “Filters” are listed here, and are denoted with the “Filter”, or “Upside-down Triangle” icon. Clicking this icon will “Remove” the filter from the “Filters” section. Clicking open the “Filters” section, we can see all of the filters that are available for this Look. Here, we can set the filter “Default” selections via dropdowns, remove existing filters by clicking the “X” next to them, or adding new filters. We’ll discuss adding new filters shortly. If we look under the “In Use” tab on the Orders “Data Fields” sidebar on the left, the 5 existing “Filters” are listed here, and are denoted with the “Filter”, or “Upside-down Triangle” icon. Clicking this icon will “Remove” the filter from the “Filters” section. To add a new “Filter”, we can click the “Plus Filter”, “Plus New group”, or “Plus Custom expression” buttons.“Plus Filter” will add a new filter to the existing grouping of “Filters”, which are noted with the “AND”, meaning they will filter data in conjunction with each other;“Plus New Group” will add a new filter in a new grouping of “Filters”;And “Plus Custom expression” adds a new custom filter.In this example, we’ll click the “Plus Filter” button to add a new filter to the existing grouping. To add a new “Filter”, we can click the “Plus Filter”, “Plus New group”, or “Plus Custom expression” buttons. “Plus Filter” will add a new filter to the existing grouping of “Filters”, which are noted with the “AND”, meaning they will filter data in conjunction with each other; “Plus New Group” will add a new filter in a new grouping of “Filters”; And “Plus Custom expression” adds a new custom filter. In this example, we’ll click the “Plus Filter” button to add a new filter to the existing grouping. This will open up the “Add Filter” modal window. This will open up the “Add Filter” modal window. We can type to search or scroll to locate the new “Filter” we’d like to add, similar to using the left “Data Fields” sidebar. When we’ve found the new “Filter” we want to add, we can simply click on it. We can type to search or scroll to locate the new “Filter” we’d like to add, similar to using the left “Data Fields” sidebar. When we’ve found the new “Filter” we want to add, we can simply click on it. This will add it to the existing grouping of “Filters”. Then, we can decide the “Default” values for this specific filter, or leave it as the default “any value”. This will add it to the existing grouping of “Filters”. Then, we can decide the “Default” values for this specific filter, or leave it as the default “any value”. Again, we can click the “X” next to any “Filter” to remove it from the list. Again, we can click the “X” next to any “Filter” to remove it from the list. Clicking open the next two sections, “Visualization” and “Data”, we can see how the two selected “Data Fields” are visualized, as well as the raw data “Results” for those selections. We can change the way the Look is visualized, and will demonstrate that shortly.As with “Filters”, if we look under the “In Use” tab in the sidebar on the left, we can see the two “Data” selections listed here. Similarly to “Filters”, clicking on these will remove them from the “Data” section. Clicking open the next two sections, visualization and data, we can see how the two selected data fields are visualized as well as the raw data results for those selections. We can change the way the look is visualized and will demonstrate that shortly. As with filters, if we look under the in-use tab, in the sidebar, on the left, we can see the two data selections listed here. Similarly, to filters clicking on, these will remove them from the data section. In the top “toolbar” for “Visualization”, we can change the way the Data in this Look is displayed. For example, the default “Visualization” for this Look is a “Column” bar graph. In the top “toolbar” for “Visualization”, we can change the way the Data in this Look is displayed. For example, the default “Visualization” for this Look is a “Column” bar graph. Clicking on “Bar” changes the “Visualization” to a side bar graph. Clicking on “Bar” changes the “Visualization” to a side bar graph. Clicking “Line” changes the “Visualization” to a line graph, and so on.There are several “Visualizations” available out-of-the-box, and custom “Visualizations” can also be created and saved. Clicking line changes the visualization to align graph and so on. There are visualizations available out of the box and custom visualizations can also be created and saved. The Data Fields listed in the “Data” table section is the data that is displayed in the “Visualization” section, and the “Filters” are the parameters set around that data. The Data Fields listed in the “Data” table section is the data that is displayed in the “Visualization” section, and the “Filters” are the parameters set around that data. To add a Data Field to the “Data” table, we’ll head back to the “Data Fields” sidebar on the left. Again, we can type to search or scroll through the list to find the Data Field we need. To add a Data Field to the “Data” table, we’ll head back to the “Data Fields” sidebar on the left. Again, we can type to search or scroll through the list to find the Data Field we need. When we’ve found the field we want to include, we’ll click directly on it. This will add it to the “Data” table. Again, we could click the “Filters” icon to add it as a filter, or select any of the other options as needed. When we’ve found the field we want to include, we’ll click directly on it. This will add it to the “Data” table. Again, we could click the “Filters” icon to add it as a filter, or select any of the other options as needed. When we’ve configured this Look with all of the “Filters”, “Visualization”, and “Data” fields we need, we’ll click the “Run” button on the top right to reload the Look with the new fields.Remember, this button will change from “White” to “Blue” indicating that there is new “Data” to include in this modified “Look”. When we’ve configured this Look with all of the “Filters”, “Visualization”, and “Data” fields we need, we’ll click the “Run” button on the top right to reload the Look with the new fields. Remember, this button will change from “White” to “Blue” indicating that there is new “Data” to include in this modified “Look”. This is the updated “Look”, with the new “Data” field that was added. It now includes the “Order Type” broken up into it’s own bar across the “Order Submitted Week” plot. This is the updated “Look”, with the new “Data” field that was added. It now includes the “Order Type” broken up into it’s own bar across the “Order Submitted Week” plot. Clicking back into the Settings menu on the top right, we’ll discuss how to “Send” as well as “Save and Schedule” the newly modified Look. Clicking back into the Settings menu on the top right, we’ll discuss how to “Send” as well as “Save and Schedule” the newly modified Look. First, let’s look at “Send”. In the Settings menu, click “Send”. First, let’s look at “Send”. In the Settings menu, click “Send”. This will open the “Send” modal window where we’ll configure all aspects of how this Look will be sent to others.Important Note - several of these fields will be duplicated between “Send” and “Schedule”. We’ll discuss each section for both. This will open the send modal window where we’ll configure all aspects of how this look will be sent to others. Important note, several of these fields will be duplicated between send and schedule. We’ll discuss each section for both. First up in the “Send” modal window, we’ll need to give the modified Look a “Title”, and then decide how we want to “Send” the Look.KIBO may give the Look a default “Title” if it has been modified from an existing Look instead of created from new, but we can edit the Title here as needed.There are several options for sending the Look, including “Webhook”, “Amazon S3”, “SFTP”, “Google Drive”, and “Google Sheets”. In this example, we’ll use the “Email” option, but each of these selections come with their own configuration. First up in the “Send” modal window, we’ll need to give the modified Look a “Title”, and then decide how we want to “Send” the Look. KIBO may give the Look a default “Title” if it has been modified from an existing Look instead of created from new, but we can edit the Title here as needed. There are several options for sending the Look, including “Webhook”, “Amazon S3”, “SFTP”, “Google Drive”, and “Google Sheets”. In this example, we’ll use the “Email” option, but each of these selections come with their own configuration. After selecting the “Email” option, we’ll need to add the relevant email addresses we want to send this Look to. We can also include an optional “Custom Message” with the email.Important Note - we can send this email to anyone we choose. They do not need to have access to the KIBO “Reports” menu to access. This is handy if we want to limit access to “Reports” but want to share the information with a broader audience, like Regional or Store Managers. After selecting the email option, we’ll need to add the relevant email addresses. We want to send this look to. We can also include an optional custom message with the email. Important note, we can send this email to anyone. We choose, they do not need to have access to the kibo reports menu to access This is Handy if we want to limit access to reports but want to share the information with a broader audience like Regional or store managers. Next, we’ll need to select how we want to “Format” the data in this Look. Again, there are several options we can select, including “CSV”, simple “JSON”, or “HTML”, but we’ll use the “Data Table” option.Lastly, there are some optional “Advanced Options” we can configure, including a “Limit” on the data, “Email options” and “Format options”.When we’ve configured all fields as needed, we’ll click the “Send” button. Next, we’ll need to select how we want to “Format” the data in this Look. Again, there are several options we can select, including “CSV”, simple “JSON”, or “HTML”, but we’ll use the “Data Table” option. Lastly, there are some optional “Advanced Options” we can configure, including a “Limit” on the data, “Email options” and “Format options”. When we’ve configured all fields as needed, we’ll click the “Send” button. Back on the “Explore” menu page, next we’ll discuss “Save and Schedule”. It’s important to note that a Look has to be “Saved” first before it can be “Scheduled”, so in this instance we can click either the “Save” button, which then requires us to decide whether to save it as a “Dashboard” or “Look”, or click “Save and Schedule”. Either one of these selections will bring up the “Save Look” modal window. To that point, if this Look had been “Saved” after edits were made, “Save and Schedule” would then appear only as “Schedule”. Back on the “Explore” menu page, next we’ll discuss “Save and Schedule”. It’s important to note that a Look has to be “Saved” first before it can be “Scheduled”, so in this instance we can click either the “Save” button, which then requires us to decide whether to save it as a “Dashboard” or “Look”, or click “Save and Schedule”. Either one of these selections will bring up the “Save Look” modal window. To that point, if this Look had been “Saved” after edits were made, “Save and Schedule” would then appear only as “Schedule”. In this example, we selected “Save and Schedule”. Because of that, we’ll get the informational “banner” at the top of the modal window letting us know that “we must save a Look before it can be scheduled”.However, this modal will appear identically if we chose the “Save” option instead. In this example, we selected save and schedule. Because of that, we’ll get the information on Banner at the top of the modal window. Letting us know that we must save a look before. It can be scheduled however, this modal will appear identically, if we chose the save option instead, We’ll need to give the Look a “Title”, an optional “Description”, and then select the “Folder” where we want to “Save”.Similar to “Send”, KIBO may give the Look a default “Title” if it has been modified instead of created from new, but we can edit the “Title” here as needed. We’ll need to give the Look a “Title”, an optional “Description”, and then select the “Folder” where we want to “Save”. Similar to “Send”, KIBO may give the Look a default “Title” if it has been modified instead of created from new, but we can edit the “Title” here as needed. The “Folder” options listed include “My Folder”, which will save the Look into a personal folder that no other User will have access to, which is handy if you want to protect it from unauthorized edits.There is also a “Shared” folder option that allows users to share it amongst all Users that have access to the “Reports” menu. Users will need permission to save Looks and Dashboards in the “Shared” folder, as shown here.Important Note - Users will not be able to save any Looks or Dashboards in the “Kibo Standard Reports” folder. That is reserved specifically for the default, “out-of-the-box” Looks and Dashboards that come with the KIBO Platform. The folder options listed include my folder, which will save the look into a personal folder that no other user will have access to, which is Handy if you want to protect it from unauthorized edits. There is also a shared folder option that allows users to share it. Amongst all users that have access to the reports menu. Users will need permission to save looks and dashboards in the shared folder as shown here. Important note users will not be able to save any looks or dashboards in the kibo standard reports folder. That is reserved specifically for the default out of the box looks and dashboards that come with the keyboard platform. When we’ve configured all required sections of the “Save Look” modal window, we’ll click the “Save & View Look” button. When we’ve configured all required sections of the “Save Look” modal window, we’ll click the “Save & View Look” button. This will open a new menu page where we can view the new or modified Look or Dashboard. This will open a new menu page where we can view the new or modified Look or Dashboard. On the top right, we’ll have all of the same controls we had in the “Explore” menu. Here, we’ll click the “Gear” icon to access the Settings menu, and then click “Schedule”. On the top right, we’ll have all of the same controls we had in the “Explore” menu. Here, we’ll click the “Gear” icon to access the Settings menu, and then click “Schedule”. This will open the “Schedule” Look modal window. Again, several of the configuration options here will be the same as the options in the “Send” modal window. We’ll discuss each section. This will open the “Schedule” Look modal window. Again, several of the configuration options here will be the same as the options in the “Send” modal window. We’ll discuss each section. For the “Schedule” modal window, there is a “Schedules” sidebar on the left. This will display all existing Looks or Dashboards that are currently scheduled to be sent. Clicking on one of the listed schedules will allow users to edit that schedule. For the “Schedule” modal window, there is a “Schedules” sidebar on the left. This will display all existing Looks or Dashboards that are currently scheduled to be sent. Clicking on one of the listed schedules will allow users to edit that schedule. Similar to the “Send” modal window, we’ll need to give the modified Look a “Title”, and then decide how we want to “Send” the Look.KIBO may give the Look a default “Title” if it has been modified from an existing Look instead of created from new, but we can edit the Title here as needed. There are several options for sending the Look, including “Email”, “Webhook”, “Amazon S3”, “Google Drive”, and “Google Sheets”. In this example, we’ll use the “SFTP” option, but each of these selections come with their own configuration. Similar to the “Send” modal window, we’ll need to give the modified Look a “Title”, and then decide how we want to “Send” the Look. KIBO may give the Look a default “Title” if it has been modified from an existing Look instead of created from new, but we can edit the Title here as needed. There are several options for sending the Look, including “Email”, “Webhook”, “Amazon S3”, “Google Drive”, and “Google Sheets”. In this example, we’ll use the “SFTP” option, but each of these selections come with their own configuration. For the “SFTP” send method, we’ll need to add all required information, including the “Address” path, a “Username”, “Password”, and “Preferred key exchange algorithm”, as shown here. For the “SFTP” send method, we’ll need to add all required information, including the “Address” path, a “Username”, “Password”, and “Preferred key exchange algorithm”, as shown here. Next, we’ll need to select how we want to “Format” the data being sent, decide the “Trigger”, and then configure the “Schedule” owhen we want to send this data. We can send this Look as often as is required, from “every 5 minutes” to “specific months”. Next, we’ll need to select how we want to “Format” the data being sent, decide the “Trigger”, and then configure the “Schedule” owhen we want to send this data. We can send this Look as often as is required, from “every 5 minutes” to “specific months”. We can optionally select different “Filters” to apply to this schedule, based on the “Filters” that are configured on this Look or Dashboard, as needed. We can optionally select different “Filters” to apply to this schedule, based on the “Filters” that are configured on this Look or Dashboard, as needed. Similar to “Send”, we can optionally configure “Advanced Options”, including a “Limit” on the data and relative “Time Zone”. Similar to “Send”, we can optionally configure “Advanced Options”, including a “Limit” on the data and relative “Time Zone”. “Schedule” allows us to send a “Test”, where we can ensure all fields we’ve just configured work correctly. “Schedule” allows us to send a “Test”, where we can ensure all fields we’ve just configured work correctly. When we’ve configured all “Schedule” fields as needed, and have “Tested” the configuration, we’ll click “Save All”. When we’ve configured all “Schedule” fields as needed, and have “Tested” the configuration, we’ll click “Save All”. As mentioned, Google’s Looker product is a powerful reporting tool. This tool is “baked-in” to the KIBO platform, meaning it has native access to all data points we’ve just discussed. KIBO’s own User Documentation has extensive information on how to make the most out of the “Reports” menu. However, there is much more information that can be found on Google Looker on Google’s own Looker Documentation page, which can be found by navigating to the web address shown. As mentioned, Google’s Looker product is a powerful reporting tool. This tool is “baked-in” to the KIBO platform, meaning it has native access to all data points we’ve just discussed. KIBO’s own User Documentation has extensive information on how to make the most out of the “Reports” menu. However, there is much more information that can be found on Google Looker on Google’s own Looker Documentation page, which can be found by navigating to the web address shown.

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