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Business idea, vision, mission and concept Public version, September 2013, gaddsoftware.com

Business idea, vision, mission and concept Public version, September 2013, gaddsoftware.com. Our buisness idea. To catalyze implementation of, business intelligence solutions , using our product portfolio , experience and success from Sweden's largest company

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Business idea, vision, mission and concept Public version, September 2013, gaddsoftware.com

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  1. Business idea, vision, mission and concept Public version, September 2013, gaddsoftware.com

  2. Our buisness idea To catalyze implementation of, business intelligence solutions, using our product portfolio, experience and success from Sweden's largest company in the retailing business.

  3. Our vision To empower, all employees, with relevant business information, catalysing quicker decisions, leading to continuous improvements in the daily operations.

  4. Our mission To extendyour BI solution to be available for all users and on all devices. To make it happen now ata breathtaking low cost.

  5. Our ambition To move Business Intelligence from “monolithic tools” to “composite intelligence”. extra and optional

  6. Concept – cover the complete scope of operational BI • Ad-hoc data analysis via web browser using pivot, tables, charts, gauges, pies, cards etc. that are interactive and “drillable”. • Ad-hoc analysis using predefined or user created queries and views for the advanced user. • Predefined reports for operational use that secures information quality, steering and super easy to use for anybody. • Retrieve and consolidate data in real-time from unlimited number of data sources. • Automatic web publishing on Intranet of reports, dashboards, KPI using WebGADD. • Automatic data retrieval and information publishing using Scheduler and AutoGADD. • Automatic data transferring using AutoGADD & GADD ETL (extract, transform and load). • User directory to steer access and authentication and Query statistic to monitor follow up all usage. • Integrated with Microsoft Excel and other MS Office desktop tools, using Microsoft technology and an extendable architecture that enables unlimited and efficient customisation.

  7. Concept – see, know and make it happen • Monitor daily operations. Publish automatically dashboards, KPI on the web. • Detect deviations. Let the system detect deviations and patterns and find the articles and product areas that need to be inspected. • Inspect detailed article facts, trends, relations and compare between sales units, suppliers, countries. • Predictthe future. Use historic data, weather, vacation, activities, campaigns etc. and let the system make the best prediction. • Monitor, Detect, Inspect and Predict on any device; PC (Windows), PC Tablet, iPad, Phone (Android, iPhone). • HTML based and using responsive design.

  8. Concept – see, know and make it happen (detailed) • Monitor • Web dashboards to display and make available on all decides via web browser and responsive design. Automatic update of dashboards on TV-screens. • Sales, returns, damages, recovery and stock and other article numeric facts is retrieved from several data sources and consolidated. • Detect • Let the system detect based on common or customised algorithm. • Products that has most significant sales increase, decrease, damaged, returned etc. • Detect and understand customer purchase patterns using basket analysis: • Customer that purchase product X what other products are they most likely also to purchase? • Inspect • Get all facts, trends and related products superfast via your web browser. • One click and on any device. Drill down, up and side ways. • Use pre-defined queries for ad-hoc analysis or create your own. • Predict • Use detected sales patterns that apply for your local store; season variation, weekdays, vacations, sales activities, geographic location, weather, salary days. • Do local sales forecast using historic sales, sales patterns, weather forecast to predict sales coming days. • Use prediction when defining budget for next month, quarter and year. alt. extended

  9. Products Public version, September 2013, gaddsoftware.com

  10. Products – component overview illustration • GADD Web Client • Web Browser • GADD Web Server(GADD Query, Dashboard Viewer) • Data Source • Oracle • SQL Server • Data files • Excel • Any type • ADO.NET, OLE DB, ODBC, Web Service, HTTP, Customised API • GADD User Directory • Microsoft Excel • GADD Query Library • GADD Desktop (GADDxl, AutoGADD, GADD Scheduler, GADD Query & Dashboard Builder, GADD Query & Dashboard Viewer, GADD Spreadsheet, GADD Maps) Data Storage GADD Monitor, Detect, Inspect & Predict • Database • GADD ETL (data exchange; export, transform, load) • Data file

  11. Products – component overview description • GADD Desktop Includes desktop applications to construct, execute, view automate and scheduler queries. • GADDxl, AutoGADD and GADD Scheduler • GADD Query & Dashboards Builder • GADD Query & Dashboard Viewer • GADD Spreadsheet • GADD Maps • GADD Query LibraryContains all query information and meta data. Makes query information very easy to change and maintain. • GADD User DirectoryIncludes web application for user administration and the application AdmGADDUser. • GADD Web ServerIncludes web client applications GADD Query & Dashboard Viewer. • GADD ETLIncludes components for data exchange and data storage. (Extract, Transform and Load.) • GADD Monitors, Detects, Inspects & PredictsIncludes framework, components and applications for basket analysis, detection of sales trends on article, product area and business area, local sales forecast and budget simulation for short and long term.

  12. Products – dashboard builder and viewer GADD Query & Dashboard Builder GADD Q & D Viewer for Windows & Web

  13. Products – dashboards on smartphone via web browser

  14. Products – GADD Query via web browser

  15. Products – visualizations, charts & gauges

  16. Products – basket analysis, chord & heat maps • Customized & business oriented • Sales activities • Add-on Sales • Cross-sales measurements • Basket Analysis • Customers that purchased X also purchase Y • Measure result on campaigns and product display in store • Recommendations based on what is in the customer basket

  17. Products – technology overview • GADD Software • GADD Software products are built using Microsoft .NET and selected Third Party Components. • We take advantage of existing BI technology and components and make it Plug & Play. • Reuse and extend instead of re-build and replace. • Composite instead of monolithic. • Microsoft .NET & HTMLMicrosoft development framework. Interact with Excel, MS Access, Power Pivot, Power BI for Office 365.HTML for the Web client for all devices and responsive design. • Third Party ComponentsThird Party Components to extend calculation and visualisation capabilities. • Microsoft • .NET development • ASP.NET • Winforms, WPF • IIS • SQL Server • Third Party Components • Dashboard • Chart • Gauges • Map • HTML & Java script • GADD Web Client • Web Browser • GADD Web Server(GADD Query, Dashboard Viewer) • Data Source • Oracle • SQL Server • Data files • Excel • Any type • ADO.NET, OLE DB, ODBC, Web Service, HTTP, Customised API • GADD User Directory • Microsoft Excel • GADD Query Library • GADD Desktop (GADDxl, AutoGADD, GADD Scheduler, Query & Dashboard Builder, Dashboard Viewer, GADD Query) • Third Party Components • Big data • Cache • Algorithm Data Storage GADD Monitor, Detect, Inspect & Predict • Database • GADD ETL (data exchange) • Data file

  18. Highlights on GADD Query & Dashboard GADD Analytics for Retail Public version, September 2013

  19. Highlights on GADD Query & Dashboard • GADD Query & Dashboard • Use predefined queries, reports, interactive dashboards for analyses and KPI publishing. • Extend dashboards and build your own. • Creating queries, reports and dashboards cannot be easier. • Publishing on the web cannot be easier.

  20. Highlight notes on Retail, ETL and Query Library • GADD Analytics for Retail • Monitor, Detect, Inspect and Predict. • Covers real-time sales monitoring, sales activity follow-up, stock analysis, quality analysis (damages & returns), basket analysis (add-on and cross sales). • Web applications (WebGADD Server) for publishing queries, reports, dashboards, KPI and enabling query execution and add-hoc data analysis via any web browser. (TV-screens, Laptop, Tablets/IPad, Mobile phone, etc). • GADD ETL • GADD ETL (Extract Transform Load) makes it possible to automatically save data that is retrieved from a query. • It cover both GADD Data Exchange and GADD Data Storage. • Use it as data cache or/and for data archiving. • Create your own data mart. • GADD Query Library Web version • Create your own Query Library. • Use GADD Data Storage as the data mart. • Publish queries via GADDxl Web version.

  21. GADD Analytics for Retail– on all devices and for all users • Cover the scope of monitor, detect, inspect and predict. • Covers sales activity follow-up, stock analysis, damages & returns, basket analysis, add-on and cross sales. • Auto update dashboards, KPI and do add-hoc data analysis via any web browser. • Use on TV-screens, Laptop, Tablets/IPad, Mobile phone. • Pre-defined dashboards, calculations, queries that can be used as is and be extended. • Automatic data archiving and data storing and web server publishing.

  22. GADD Analytics for Retail– Plug & Play • Web Browser • Data Source Business rules & configuration • Microsoft Excel GADD Analytics for Retail • DB • Data file

  23. GADD Analytics for Retail– content overview • Monitor • Web dashboards to display and make available on all decides via web browser and responsive design. Automatic update of dashboards on TV-screens. • Sales, returns, damages, recovery and stock and other article numeric facts is retrieved from several data sources and consolidated. External data e.g. sales goals and budget saved locally in Excel files can be included to monitor sales activities goal and budget fulfilment. • Detect • Let the system detect based on common or customised algorithm. • Products that has most significant sales increase, decrease, damaged, returned etc. • Detect and understand customer purchase patterns using basket analysis: • Customer that purchase product X what other products are they most likely also to purchase? • What is the probability for add-on sales for a product? • What was the result on the campaign in aspect of cross-sales and add-on sales? • Inspect • Get all facts, trends and related products superfast via your web browser. • One click and on any device. Drill down, up and side ways. • Use pre-defined queries for ad-hoc analysis or create your own. • Predict • Use detected sales patterns that apply for your local store; season variation, weekdays, vacations, sales activities, geographic location, weather, salary days. • Do local sales forecast using historic sales, sales patterns, weather forecast to predict sales coming days. • Use prediction when defining budget for next month, quarter and year.

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