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| 1 | +# Introduction |
| 2 | + |
| 3 | +Oracle Analytics platform is a cloud native service that provides the capabilities required to address the entire analytics process including data ingestion and modelling, data preparation and enrichment, and visualization and collaboration, without compromising security and governance. Oracle Analytics Extensions expand and enhance your Oracle Analytics deployment with custom extensions to further your visualization capabilities. |
| 4 | + |
| 5 | +Map Extension functionality can be used by Oracle Analytics Cloud consumers and business intelligence analysts. |
| 6 | + |
| 7 | +## Pre-requisites: |
| 8 | + |
| 9 | +In order to enable this solution, the following must be available: |
| 10 | + |
| 11 | +- Operating system (64 bits): Linux, Solaris x86-64, SPARC, Windows, AIX, HP-UX, Linux. |
| 12 | +- Oracle Analytics Cloud: Enterprise Edition. |
| 13 | +- Oracle Cloud Infrastructure Account: You will need an active Oracle Cloud Infrastructure account. |
| 14 | +- IAM User: You need to create an Identity and Access Management (IAM) user in your OCI tenancy with the required permissions to access Oracle Cloud. |
| 15 | + |
| 16 | +### Main Features: |
| 17 | + |
| 18 | +- Report for Revenue Analysis. |
| 19 | +- Custom Map Extension. |
| 20 | +- JSON Files for different countries. |
| 21 | + |
| 22 | +## Business Value |
| 23 | +The customer requirement to get their data columns been modelled to be displayed on maps. They can configure the map data, then can analyse the data in map views. |
| 24 | +Map views allow them to display data on maps in different formats and to interact with data. They can create maps to visualize data such as sales by city and country, products purchased in a specific region, and determine where you might need to add sales resources. |
| 25 | + |
| 26 | +## Use Case |
| 27 | + |
| 28 | +When a custom map extension is used customer can visualize the data by countries/cities. |
| 29 | +The custom map extension add more value to the data by representing it from least to the most ranges in different colour and highlighting meaningful insights. This solution shows how custom maps can be updated in Oracle Analytics cloud and can be used in a map graph representing revenue by countries. |
| 30 | + |
| 31 | +The implemented solution satisfies below functional requirements like: |
| 32 | + |
| 33 | +- Be able to do Revenue analysis. |
| 34 | +- Visualize sales data. |
| 35 | +- Drill down reports to sales by country and city. |
| 36 | +- Product purchased in specific region. |
| 37 | +- Insights to highlight turnover performance by country. |
| 38 | +- Represent Net profit by country/city. |
| 39 | + |
| 40 | +### Update Custom Map Layers: |
| 41 | + |
| 42 | +1. On the Home page click Navigator, and then click Console. |
| 43 | + |
| 44 | + |
| 45 | + |
| 46 | + |
| 47 | +Figure 1. Representation of navigation for uploading custom map in Oracle Analytics Cloud. |
| 48 | + |
| 49 | +2. Click Maps, click Map Layers and click Custom Map Layers. |
| 50 | + |
| 51 | + |
| 52 | + |
| 53 | +Figure 2. Representation of selection of map extension functionality in Oracle Analytics Cloud. |
| 54 | + |
| 55 | +3. Add Custom Map. |
| 56 | + |
| 57 | + |
| 58 | + |
| 59 | + |
| 60 | +Figure 3. Representation of uploading geo json files in Oracle Analytics Cloud. |
| 61 | + |
| 62 | +4. Adding custom uploaded Map to the Report. |
| 63 | + |
| 64 | + |
| 65 | + |
| 66 | +Figure 4. Representation of adding uploaded custom Maps to the Analytics Report. |
| 67 | + |
| 68 | +5. Report Output |
| 69 | + |
| 70 | + |
| 71 | + |
| 72 | + |
| 73 | +Figure 5. Representation of Revenue Analysis within Europe. |
| 74 | + |
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