A short white paper summarizing some benefits of the implementation of geography within a Business Intelligence system
author: Didier ROBERT and Krishnakumar SATHEESH, 2014
Effective Marketing: a Key Success Factor for Enterprise GIS, 2004 URISA Annu...Greg Babinski
A key challenge for city, county, and other local agency GIS operations is to promote the use of GIS services across organizational boundaries, in order to maintain the institutional support that results in adequate and reliable funding for enterprise GIS. This paper outlines the King County GIS (KCGIS) Center’s strategy and methods to market enterprise GIS services for King County, Washington. It also illustrates how these methods can be applied by small local agency GIS operations. KCGIS Center methods used to identify and describe the specific ‘service offerings’ that provide value to potential customers are outlined. KCGIS Center techniques used to identify the technical, business operations, and management level decision-makers within a target market are described. Finally, tactics used to get the KCGIS Center marketing message to decision-makers and effective methods to ‘close the deal’ are reviewed. Branding, customer relationship management, and the importance of developing a marketing focus across the enterprise GIS organization are explained as well.
Effective Marketing - A Key Success Factor for Enterprise GISGreg Babinski
This paper and presentation was presented at the 2004 URISA Annual Conference. It describes how GIS managers can effectively market their enterprise GIS programs to help build and maintain a viable GIS program and enlighten potential users of the benfits of implementing GIS
The Saratoga CRM roadmap focuses on updates to the thin client access method, adding collaboration and productivity tools, enhancing the platform, and improving existing applications. Key areas of focus include improving the thin client's navigation, layout, and browser support; adding social media, document management, and mobile collaboration features; strengthening code management and single sign-on capabilities; and porting over applications from Pivotal CRM while considering new vertical apps.
Top 5 Benefits of Procurement & Supply Chain CollaborationAngela Carver
While procurement and supply chain management are closely related, they are not one in the same. Procurement is defined as the process of acquiring goods and services that your company needs to fulfill its business model. This entails a variety of other services such as contract negotiation, financing and more. Supply chain management is every activity involved in putting products in the hands of consumers. It includes a variety of supply chain operations such as manufacturers, wholesalers, transportation providers and more. While these two functional groups are intended to work in conjunction, many times the supply chain as a whole suffers from a lack of procurement-SCM collaboration. SupplyChain247.com recently published an article detailing the six functional procurement areas that can be improved by considering supply chain issues. These areas include: demand planning, inventory planning, leadtime optimization, product lifecycle management, footprint design and capacity planning. Working with supply chain managers to improve these areas can result in notable supply chain improvements. The top five benefits business realize when procurement and supply chain managers work together are supply chain risk reductions, improved customer satisfaction, cost reductions, improved flexibility and improved supplier relationships. The most advanced and efficient supply chain utilize technology in order to improve collaboration between these groups. The most frequently used technology is electronic data interchange (EDI), automated data collection (ADC) and warehouse management software (WMS). These three technologies can improve communication and available inventory data to make the procurement-SCM relationship operate seamlessly. Make the most of your functional teams by giving them all of the tools they need to work together to meet a common goal. To learn more about the importance of the procurement-supply chain management relationship and how to improve it contact Datex experts today at marketing@datexcorp.com or 800.933.2839 ext 243.
Location Intelligence - The where factorThomas Lejars
The document provides an overview of Galigeo, a company that provides location intelligence solutions. It discusses how Galigeo combines geographical data with business intelligence data to provide insights. It highlights some of Galigeo's key products and capabilities, including its platform for analyzing business data within its geographic context. It also provides examples of Galigeo's clients and success stories.
AI in Business Intelligence Impact use cases and implementationChristopherTHyatt
Data, data everywhere! In the contemporary business landscape, organizations are inundated with a constant stream of data. But without the ability to interpret and analyze this data effectively, it remains just that – data. This is where business intelligence (BI) comes in. As Carly Fiorina aptly stated, “The goal of business intelligence is to turn data into information and information into insight.“Business intelligence tools and strategies enable companies to uncover the latent opportunities hidden within their data, translating it into actionable insights that enhance decision-making processes.
Location data is found in 80% of organizational data but is often overlooked. Location analytics maps this location-specific data to provide insights across business areas like operations, marketing, and risk management. It offers dynamic mapping, spatial analysis, and access to complementary data. This goes beyond simple visualization to reveal patterns and relationships not evident in other formats. An effective solution is compatible with existing tools, supports various analyses and platforms, and is provided by an experienced vendor with user support. Location analytics can help organizations better understand and leverage their data.
Effective Marketing: a Key Success Factor for Enterprise GIS, 2004 URISA Annu...Greg Babinski
A key challenge for city, county, and other local agency GIS operations is to promote the use of GIS services across organizational boundaries, in order to maintain the institutional support that results in adequate and reliable funding for enterprise GIS. This paper outlines the King County GIS (KCGIS) Center’s strategy and methods to market enterprise GIS services for King County, Washington. It also illustrates how these methods can be applied by small local agency GIS operations. KCGIS Center methods used to identify and describe the specific ‘service offerings’ that provide value to potential customers are outlined. KCGIS Center techniques used to identify the technical, business operations, and management level decision-makers within a target market are described. Finally, tactics used to get the KCGIS Center marketing message to decision-makers and effective methods to ‘close the deal’ are reviewed. Branding, customer relationship management, and the importance of developing a marketing focus across the enterprise GIS organization are explained as well.
Effective Marketing - A Key Success Factor for Enterprise GISGreg Babinski
This paper and presentation was presented at the 2004 URISA Annual Conference. It describes how GIS managers can effectively market their enterprise GIS programs to help build and maintain a viable GIS program and enlighten potential users of the benfits of implementing GIS
The Saratoga CRM roadmap focuses on updates to the thin client access method, adding collaboration and productivity tools, enhancing the platform, and improving existing applications. Key areas of focus include improving the thin client's navigation, layout, and browser support; adding social media, document management, and mobile collaboration features; strengthening code management and single sign-on capabilities; and porting over applications from Pivotal CRM while considering new vertical apps.
Top 5 Benefits of Procurement & Supply Chain CollaborationAngela Carver
While procurement and supply chain management are closely related, they are not one in the same. Procurement is defined as the process of acquiring goods and services that your company needs to fulfill its business model. This entails a variety of other services such as contract negotiation, financing and more. Supply chain management is every activity involved in putting products in the hands of consumers. It includes a variety of supply chain operations such as manufacturers, wholesalers, transportation providers and more. While these two functional groups are intended to work in conjunction, many times the supply chain as a whole suffers from a lack of procurement-SCM collaboration. SupplyChain247.com recently published an article detailing the six functional procurement areas that can be improved by considering supply chain issues. These areas include: demand planning, inventory planning, leadtime optimization, product lifecycle management, footprint design and capacity planning. Working with supply chain managers to improve these areas can result in notable supply chain improvements. The top five benefits business realize when procurement and supply chain managers work together are supply chain risk reductions, improved customer satisfaction, cost reductions, improved flexibility and improved supplier relationships. The most advanced and efficient supply chain utilize technology in order to improve collaboration between these groups. The most frequently used technology is electronic data interchange (EDI), automated data collection (ADC) and warehouse management software (WMS). These three technologies can improve communication and available inventory data to make the procurement-SCM relationship operate seamlessly. Make the most of your functional teams by giving them all of the tools they need to work together to meet a common goal. To learn more about the importance of the procurement-supply chain management relationship and how to improve it contact Datex experts today at marketing@datexcorp.com or 800.933.2839 ext 243.
Location Intelligence - The where factorThomas Lejars
The document provides an overview of Galigeo, a company that provides location intelligence solutions. It discusses how Galigeo combines geographical data with business intelligence data to provide insights. It highlights some of Galigeo's key products and capabilities, including its platform for analyzing business data within its geographic context. It also provides examples of Galigeo's clients and success stories.
AI in Business Intelligence Impact use cases and implementationChristopherTHyatt
Data, data everywhere! In the contemporary business landscape, organizations are inundated with a constant stream of data. But without the ability to interpret and analyze this data effectively, it remains just that – data. This is where business intelligence (BI) comes in. As Carly Fiorina aptly stated, “The goal of business intelligence is to turn data into information and information into insight.“Business intelligence tools and strategies enable companies to uncover the latent opportunities hidden within their data, translating it into actionable insights that enhance decision-making processes.
Location data is found in 80% of organizational data but is often overlooked. Location analytics maps this location-specific data to provide insights across business areas like operations, marketing, and risk management. It offers dynamic mapping, spatial analysis, and access to complementary data. This goes beyond simple visualization to reveal patterns and relationships not evident in other formats. An effective solution is compatible with existing tools, supports various analyses and platforms, and is provided by an experienced vendor with user support. Location analytics can help organizations better understand and leverage their data.
This document discusses key factors for successful business intelligence (BI) solutions. It outlines that smart companies use BI to gain insights and competitive advantages. BI solutions transform raw data into valuable information and knowledge through extraction, integration, analysis and feedback loops. The document then discusses various aspects of establishing successful BI solutions, including having executive sponsorship, aligning business and IT, prioritizing projects, and building an organizational culture that values data-driven decision making.
This document discusses how location intelligence can help businesses better understand relationships between business performance and geographic/demographic factors. It provides examples of how location intelligence solutions can help with sales/distribution network analysis and marketing/planning needs like identifying high-potential new areas and optimizing a point-of-sale network. The discussed solution enables visualization of key business metrics on maps, time series trend analysis, target setting and monitoring across geographies.
This document describes an analytical approach called Objective Driven Segmentation (ODS) and provides two case studies that demonstrate its application. ODS defines objective functions representing growth strategies and uses those objectives to guide variable selection and segmentation. The first case study applies ODS to a multi-national beer company, using diary and survey data to segment markets and identify opportunities across different consumption occasions. Through an iterative process, ODS provides a segmentation solution that identifies segments relevant to multiple growth objectives.
Digital Analytics for E-commerce and Online BusinessYour Retail Coach
Digital analytics can provide various benefits to businesses through analyzing data from websites, social media, e-commerce platforms, and other digital sources. It helps with informed decision-making, identifying areas for improvement, tracking key performance indicators, and ensuring profitability. The document outlines four main forms of digital analytics - web analytics, social media analytics, business intelligence, and e-commerce analytics. It also discusses how different business functions like sales, marketing, operations, and finance can leverage digital analytics insights. Overall, digital analytics provides an edge to businesses by facilitating intelligent decisions, issuing warning signals, conducting profitability analysis, and allowing for KPI tracking.
The document discusses location intelligence technologies and how they can benefit businesses. It provides examples of how location intelligence can be used to boost revenues and decrease costs through customer analysis, retail site selection, advertising and marketing, sales territory design, supply chain management, and field service planning. The document also notes that location data is becoming a more prominent part of business intelligence and analytics as tools are developed to store, analyze and visualize spatial data. It emphasizes that location intelligence rollout requires clear planning and navigation to ensure effective implementation.
1. The document discusses Business Intelligence and analytics using Oracle BI Foundation Suite. It provides an overview of the different components, capabilities, and features of Oracle BI including the BI Server, presentation layer, data warehousing, ETL processes, and end users.
2. It describes the different modules of Oracle BI including dashboards, KPIs, reports, predictive analysis, and graphical OLAP. It also discusses the hardware and software components needed for a complete Oracle BI solution.
3. Screenshots are provided showing how to create a database connection in Oracle BI, indicating how users can access and work with data through the presentation layer.
Esri Location Analytics for Business IntelligenceEsri
This document discusses Esri's Location Analytics solution which integrates business intelligence (BI) and geographic information system (GIS) technologies. The Location Analytics solution seamlessly embeds mapping and spatial analysis tools into existing BI systems. This allows users to visualize and analyze key BI data on interactive maps to discover new patterns and trends. The benefits of Location Analytics include more valuable analytics through spatial visualization, leveraging existing BI investments, and minimal disruption to existing workflows and skills.
Datamonitor Decision Matrix Selecting A Business Intelligence Vendor (Competi...Cezar Cursaru
SAS is the clear market leader as it leads technology assessment, dominates user sentiment and exerts considerable market impact. SAS offers a great portfolio of both basic and advanced functionality, backed up by a dependable support capability. Its stable financial footing, superb vision and lead in advanced analytics all imply that SAS is well placed to continue as the Business Intelligence market leader.
The document discusses critical challenges for business intelligence (BI) project success. It states that over half of BI projects fail or do not deliver promised benefits. The top reasons for failure are treating BI as just another IT project rather than a constantly evolving strategy, and not addressing 10 critical challenges. These challenges include lack of cross-organizational collaboration, unengaged business sponsors, unavailable business representatives, lack of skilled staff, no iterative development methodology, and overreliance on tools without understanding their proper use.
This document discusses using geographical information systems (GIS) in retail marketing. It outlines how GIS helps with spatially-based business planning problems and customer/competitor analysis. While GIS adoption is growing, challenges remain around complex technology for end-users, lack of integrated spatial decision models, and societal impacts of geographic data use. The proposed research aims to systematically study GIS implementation across organizations and design models to identify effective marketing strategies and how GIS can improve decision making.
The document provides information about the Gartner Business Intelligence & Analytics Summit 2013 to be held in Barcelona, Spain from February 5-7, 2013. The summit will focus on key topics in business intelligence and analytics including the future of BI, integrating analytics and BI, predictive analysis, mobile BI, and big data analytics. Attendees can choose from tracks on data management, organization and strategy, performance management, analytic trends, and a virtual track on big data. The agenda includes plenary sessions on the future of information use, information as a business strategy, identity in the digital age, Statoil's beyond budgeting management model, and networking effectively. Early registration before December 7, 2012 provides a €300 discount.
Business Intelligence White Paper March11craig1201
This document discusses how business intelligence (BI) tools can help small and medium enterprises (SMEs) navigate economic challenges by providing insights from their data. Specifically:
1) BI tools allow SMEs to analyze data from various sources to understand which products and customers are most profitable and how business decisions may impact key metrics.
2) While traditionally seen as too complex and expensive for SMEs, lower-cost BI solutions now exist that are designed for smaller businesses.
3) Implementing BI requires commitment but can provide a substantial competitive advantage by facilitating better decision-making through analytics, dashboards, and reporting.
This document discusses business intelligence in finance and accounting and how it can help organizations become more agile. It describes the author's experience in finance transformation projects. It then discusses challenges that can arise from ineffective BI systems, such as reduced agility, lack of standardization, and sub-optimal decision making. Finally, it suggests that implementing a mature BI solution through ensuring goals are met, having strong governance, aligning with objectives, and using emerging technologies can help address these challenges.
Marketing and Consumer Behaviour SKY Brazil Ltda.Guilherme Preihs
This document provides an overview of marketing principles and concepts relevant to developing a marketing plan for SKY Brasil Serviços Ltda. It discusses the purpose and components of a marketing plan, including situational analysis, objectives, strategy, tactics, and control. It also covers topics like marketing tools, communication mix, marketing techniques, and the uses and methods of primary and secondary research. The key points are that a marketing plan helps achieve business objectives by satisfying customer needs and creating customer relationships.
The document discusses Enterprise Business Planning (EBP), which aims to fully integrate planning processes across finance, supply chain, and commercial functions into a single, truly integrated process. EBP goes beyond previous methods like Integrated Business Planning by converging eight major enterprise functions such as demand planning, supply planning, inventory, and finance into one plan. Implementing EBP can drive benefits like increased revenue growth, operating margins, and asset efficiency. However, the main barriers to EBP are often organizational challenges around people and processes rather than technology limitations. The document outlines a five-step approach to enable and accelerate EBP adoption.
ASSIGNMENT PROJECT FRONT SHEET CIM Membership Number Module TitleAudrey Britton
This document is a front sheet and report for a marketing assignment on analyzing metrics at a travel company called XXXXXXX. It includes a candidate declaration, table of contents, and sections analyzing the role of metrics in marketing decisions, the relationship between marketing and other business functions at XXXXXXX, and effective use of marketing metrics. The assignment totals 16 pages and analyzes metrics related to products, pricing, placement, and promotions to demonstrate marketing value and inform future planning.
This document outlines a commercial GEOINT strategy for the National Geospatial-Intelligence Agency (NGA). The strategy aims to harness the growing capabilities of commercial GEOINT providers to deliver imagery, analytics, and other geospatial data and services at the speed of customer decision making. It establishes objectives of enabling timely intelligence and tactical decisions, improving awareness for civil users, and adopting emerging commercial capabilities. Key imperatives include understanding industry evolution, exploring new technologies, acquiring mature capabilities, and institutionalizing commercial sources.
kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x
This document provides an overview of business intelligence (BI), including what it is, how it is implemented, examples of how organizations use BI, and the typical components involved in a BI architecture. It defines BI as a set of processes and technologies that convert raw data into meaningful and useful information for driving business decisions. The key components of a BI architecture discussed are data sources, data integration and cleansing tools, analytics data stores, BI and visualization tools, and dashboards/reports for delivering insights.
Presenting the BI Approaches and Functions which is used to develop any kinds of Database system for any organization for their better operation. Trying to mention the functional overview of Database function which is used to develop any kind of business intelligence system.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
More Related Content
Similar to Benefits and implementation of geography within business intelligence
This document discusses key factors for successful business intelligence (BI) solutions. It outlines that smart companies use BI to gain insights and competitive advantages. BI solutions transform raw data into valuable information and knowledge through extraction, integration, analysis and feedback loops. The document then discusses various aspects of establishing successful BI solutions, including having executive sponsorship, aligning business and IT, prioritizing projects, and building an organizational culture that values data-driven decision making.
This document discusses how location intelligence can help businesses better understand relationships between business performance and geographic/demographic factors. It provides examples of how location intelligence solutions can help with sales/distribution network analysis and marketing/planning needs like identifying high-potential new areas and optimizing a point-of-sale network. The discussed solution enables visualization of key business metrics on maps, time series trend analysis, target setting and monitoring across geographies.
This document describes an analytical approach called Objective Driven Segmentation (ODS) and provides two case studies that demonstrate its application. ODS defines objective functions representing growth strategies and uses those objectives to guide variable selection and segmentation. The first case study applies ODS to a multi-national beer company, using diary and survey data to segment markets and identify opportunities across different consumption occasions. Through an iterative process, ODS provides a segmentation solution that identifies segments relevant to multiple growth objectives.
Digital Analytics for E-commerce and Online BusinessYour Retail Coach
Digital analytics can provide various benefits to businesses through analyzing data from websites, social media, e-commerce platforms, and other digital sources. It helps with informed decision-making, identifying areas for improvement, tracking key performance indicators, and ensuring profitability. The document outlines four main forms of digital analytics - web analytics, social media analytics, business intelligence, and e-commerce analytics. It also discusses how different business functions like sales, marketing, operations, and finance can leverage digital analytics insights. Overall, digital analytics provides an edge to businesses by facilitating intelligent decisions, issuing warning signals, conducting profitability analysis, and allowing for KPI tracking.
The document discusses location intelligence technologies and how they can benefit businesses. It provides examples of how location intelligence can be used to boost revenues and decrease costs through customer analysis, retail site selection, advertising and marketing, sales territory design, supply chain management, and field service planning. The document also notes that location data is becoming a more prominent part of business intelligence and analytics as tools are developed to store, analyze and visualize spatial data. It emphasizes that location intelligence rollout requires clear planning and navigation to ensure effective implementation.
1. The document discusses Business Intelligence and analytics using Oracle BI Foundation Suite. It provides an overview of the different components, capabilities, and features of Oracle BI including the BI Server, presentation layer, data warehousing, ETL processes, and end users.
2. It describes the different modules of Oracle BI including dashboards, KPIs, reports, predictive analysis, and graphical OLAP. It also discusses the hardware and software components needed for a complete Oracle BI solution.
3. Screenshots are provided showing how to create a database connection in Oracle BI, indicating how users can access and work with data through the presentation layer.
Esri Location Analytics for Business IntelligenceEsri
This document discusses Esri's Location Analytics solution which integrates business intelligence (BI) and geographic information system (GIS) technologies. The Location Analytics solution seamlessly embeds mapping and spatial analysis tools into existing BI systems. This allows users to visualize and analyze key BI data on interactive maps to discover new patterns and trends. The benefits of Location Analytics include more valuable analytics through spatial visualization, leveraging existing BI investments, and minimal disruption to existing workflows and skills.
Datamonitor Decision Matrix Selecting A Business Intelligence Vendor (Competi...Cezar Cursaru
SAS is the clear market leader as it leads technology assessment, dominates user sentiment and exerts considerable market impact. SAS offers a great portfolio of both basic and advanced functionality, backed up by a dependable support capability. Its stable financial footing, superb vision and lead in advanced analytics all imply that SAS is well placed to continue as the Business Intelligence market leader.
The document discusses critical challenges for business intelligence (BI) project success. It states that over half of BI projects fail or do not deliver promised benefits. The top reasons for failure are treating BI as just another IT project rather than a constantly evolving strategy, and not addressing 10 critical challenges. These challenges include lack of cross-organizational collaboration, unengaged business sponsors, unavailable business representatives, lack of skilled staff, no iterative development methodology, and overreliance on tools without understanding their proper use.
This document discusses using geographical information systems (GIS) in retail marketing. It outlines how GIS helps with spatially-based business planning problems and customer/competitor analysis. While GIS adoption is growing, challenges remain around complex technology for end-users, lack of integrated spatial decision models, and societal impacts of geographic data use. The proposed research aims to systematically study GIS implementation across organizations and design models to identify effective marketing strategies and how GIS can improve decision making.
The document provides information about the Gartner Business Intelligence & Analytics Summit 2013 to be held in Barcelona, Spain from February 5-7, 2013. The summit will focus on key topics in business intelligence and analytics including the future of BI, integrating analytics and BI, predictive analysis, mobile BI, and big data analytics. Attendees can choose from tracks on data management, organization and strategy, performance management, analytic trends, and a virtual track on big data. The agenda includes plenary sessions on the future of information use, information as a business strategy, identity in the digital age, Statoil's beyond budgeting management model, and networking effectively. Early registration before December 7, 2012 provides a €300 discount.
Business Intelligence White Paper March11craig1201
This document discusses how business intelligence (BI) tools can help small and medium enterprises (SMEs) navigate economic challenges by providing insights from their data. Specifically:
1) BI tools allow SMEs to analyze data from various sources to understand which products and customers are most profitable and how business decisions may impact key metrics.
2) While traditionally seen as too complex and expensive for SMEs, lower-cost BI solutions now exist that are designed for smaller businesses.
3) Implementing BI requires commitment but can provide a substantial competitive advantage by facilitating better decision-making through analytics, dashboards, and reporting.
This document discusses business intelligence in finance and accounting and how it can help organizations become more agile. It describes the author's experience in finance transformation projects. It then discusses challenges that can arise from ineffective BI systems, such as reduced agility, lack of standardization, and sub-optimal decision making. Finally, it suggests that implementing a mature BI solution through ensuring goals are met, having strong governance, aligning with objectives, and using emerging technologies can help address these challenges.
Marketing and Consumer Behaviour SKY Brazil Ltda.Guilherme Preihs
This document provides an overview of marketing principles and concepts relevant to developing a marketing plan for SKY Brasil Serviços Ltda. It discusses the purpose and components of a marketing plan, including situational analysis, objectives, strategy, tactics, and control. It also covers topics like marketing tools, communication mix, marketing techniques, and the uses and methods of primary and secondary research. The key points are that a marketing plan helps achieve business objectives by satisfying customer needs and creating customer relationships.
The document discusses Enterprise Business Planning (EBP), which aims to fully integrate planning processes across finance, supply chain, and commercial functions into a single, truly integrated process. EBP goes beyond previous methods like Integrated Business Planning by converging eight major enterprise functions such as demand planning, supply planning, inventory, and finance into one plan. Implementing EBP can drive benefits like increased revenue growth, operating margins, and asset efficiency. However, the main barriers to EBP are often organizational challenges around people and processes rather than technology limitations. The document outlines a five-step approach to enable and accelerate EBP adoption.
ASSIGNMENT PROJECT FRONT SHEET CIM Membership Number Module TitleAudrey Britton
This document is a front sheet and report for a marketing assignment on analyzing metrics at a travel company called XXXXXXX. It includes a candidate declaration, table of contents, and sections analyzing the role of metrics in marketing decisions, the relationship between marketing and other business functions at XXXXXXX, and effective use of marketing metrics. The assignment totals 16 pages and analyzes metrics related to products, pricing, placement, and promotions to demonstrate marketing value and inform future planning.
This document outlines a commercial GEOINT strategy for the National Geospatial-Intelligence Agency (NGA). The strategy aims to harness the growing capabilities of commercial GEOINT providers to deliver imagery, analytics, and other geospatial data and services at the speed of customer decision making. It establishes objectives of enabling timely intelligence and tactical decisions, improving awareness for civil users, and adopting emerging commercial capabilities. Key imperatives include understanding industry evolution, exploring new technologies, acquiring mature capabilities, and institutionalizing commercial sources.
kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x
This document provides an overview of business intelligence (BI), including what it is, how it is implemented, examples of how organizations use BI, and the typical components involved in a BI architecture. It defines BI as a set of processes and technologies that convert raw data into meaningful and useful information for driving business decisions. The key components of a BI architecture discussed are data sources, data integration and cleansing tools, analytics data stores, BI and visualization tools, and dashboards/reports for delivering insights.
Presenting the BI Approaches and Functions which is used to develop any kinds of Database system for any organization for their better operation. Trying to mention the functional overview of Database function which is used to develop any kind of business intelligence system.
Similar to Benefits and implementation of geography within business intelligence (20)
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
3. 3
Introduction.........................................................................................4
Context: more and more geo..............................................................5
How geography helps business........................................................6
Definition and benefits of geo-BI......................................................7
How to implement geo-BI..................................................................8
Presentation
definition, objectives, implementation
4. 4
Business Intelligence, as the name suggests is a practice to understand the right business drivers and factors to boost business & hence revenue. The practice of BI is now decades old and it has evolved and adapted to the global business scenario.
It all started during the early 80’s when performance visualization was achieved through static reporting. Enterprises had access to Excel based reports for department views, data aggregation, information work-flows etc. This actually led to the growth of the various Management Information Systems & Executive Information Systems through the late 80’s.
This practice has evolved to perform simple & complex multi-dimensional data analysis.
Most of the businesses today are global and this calls for a new dimension for deriving better intelligence & information, Geography. Geography is not a new concept but something that has been in the database for long in the form of customer locations, addresses, office locations, delivery route, cabling route etc. The practice of linking geography to business parameters & deriving intelligence is called geo-BI. This may sound new, but the fact is by default most of the databases have geography disseminated across them. The system should use intelligent algorithms to consider the geographic perspective while delivering BI.
The way consumers buy a product in America would be different from Australia or for that matter regional variations in consumer patterns exist also across regions within a country which any powerful BI cannot show, but a geographic BI can display parameters on a map along with other analytical intelligence making the BI space complete, for now.
Geo-BI does not mean adding more data to the existing plethora of data, but utilizing the geographic information disseminated across existing databases.
Geo-BI helps businesses analyze and understand business performance based on local potential, sales network coverage, local performance of Marketing Communications.
Introduction
5. 5
Context:
more and more geo
Three trends explain the need & development of geo-BI within Companies:
Mapmania
Geography is more and more present in IT, either in BtoB and BtoC applications. Accessing a website with geo- location filters, viewing maps, proximity based searches, etc is becoming a common capability within many applications. Business Intelligence should not be an exception for this trend.
Geographic optimization
More and more Companies see the way they are geographically organized and the way they geographically operate as one of the profitability driver, something like a new frontier for business management. Understand and report business performance on a geographical basis - one of the geo-BI outcome - is part of this trend.
Geographic possibilities
Recently, geographic data has become affordable for many organization. Databases systems have integrated spatial extensions. Geographic technology also became easier and cheaper to integrate within a corporate system, for instance through web services. This makes geography accessible for almost all companies willing to incorporate this.
6. 6
How geography
helps business
Geography improves three major components of business:
■ Strategy: geo helps to assess and target the right local markets, geo helps to adapt organizations to the defined local objectives.
■ Operations: targeted local communication, sales visits, logistic deliveries... many operations largely benefit from geographic optimization.
■ Performance: geographic solutions help to evaluate local performances and to understand over/under performance.
Geo-Business Intelligence is strongly linked to the evaluation of Performance with positive feed-back on the way Strategy is defined and Operations are led:
geoStrategy
geoOperations
geoPerformance
definition & creation of an organization
geographically adapted to the business model
optimization of geographic background existing in most operations
Geo-Business Intelligence
Understanding of how a Company performs in its market space and how its organization and operation can be modified to reach its business target
7. 7
Definition and benefits of
geo-BI
Broadly speaking, geoBI helps to understand market conditions and performance analysis for an organization, across business regions. Geography is powerful: it talks about local potential, local markets where everyday operations are performed, business achievements in a territory dominated by competition, purchasing potential etc.
The key benefits, amongst other benefits delivered by geo-BI are :
■ Sharing of objectives and common language within an organization
Geo-BI helps to communicate market objectives to local operational teams. In other words, it desegregates global business plan at the lowest local level, the level of stores managers or sales districts managed by local representatives. Thus geo-BI helps all employees view the same business objective, but at a geographic level and this ensures focus & improved decision making.
■ Performance analysis based on market potential
The mapping of business indicators offers a clear view of how regional and local operations are performing. For instance, the display of sales results on a map helps instantaneously identify territory based performance. Moreover, geo-BI is helpful when it is based on the definition of geo-KPI: each store - and its catchment area - or each sales district have their own market potential and local competition structure thus KPI must be adapted to local markets. When taking these geographic differences into account, the analysis of results is more powerful and organizations enjoy smarter decision making.
■ Problem Analysis
A detailed geographic analysis of performance also helps to identify various problems: a change in consumer / customer pattern, local saturation of offer, aggressive local advertisements from competitors, etc. From these analysis, specific local decisions like an increase in local advertisements, modification of the pricing or merchandising strategy, disinvestment, etc can be decided.
8. 8
How to
implement geo-BI
The implementation of geo-BI within an organization requires 2 important prerequisites:
1. Geography of business data should be stated
Almost all data has geography disseminated across them. This needs to be recognized, structured and used within the company’s information system. For instance, all customers should have a standardized and geocoded address, all stores should be geolocated, all sales districts should be mapped, etc.
2. Localization of market potential and objectives
Once the Company’s geography mapped, local market potential and objective should be defined. This leads to the definition of geo-KPIs which leverage the power of geo- BI, not only in terms of «basic» mapping display of Company’s activity but also in terms of monitoring of local performance and achievements.
The basic geo-BI solutions help:
■ Easy mapping of activity indicators and local KPI’s;
■ Navigation with respect to the organizational hierarchy of the Company (regions, stores network...) and the level of the user (store manager vs regional manager, sales reps vs head of sales...);
■ Spatial query and computation of local indicators in order to create powerful market analysis and take better decisions;
■ Encouragement of collaborative work with possibility to produce and share relevant geographic analysis and reports.
9. 9
When it comes to technology, a geo-BI solution is made up of 4 components:
geocoding
& geolocation
multilayered access & display
region
district
point of sales
+
multidimensional +
geo-query & analysis
➊ geocoding & geolocation: visualizing your location and adding geomarketing context to business data.
➋ multidimensional analysis: a powerful OLAP engine enabling automated multi perspective views of existing data, with geography.
➌ multilayered access & display: accessing relevant information at the contextual hierarchy& viewing the same efficiently.
➍ geo-BI analysis: revealing geographical insights that can have a profound impact on the way operations are managed and taking better decision with the help of geographic intelligence.
Corp Business Data
➊
➋
➌
➍
geo-BI navigation
& analysis
10. Since 1990, GEOCONCEPT helps people solve their geographic problems. The GEOCONCEPT group offers a comprehensive suite of geo-BI solutions tailored to business needs.
A few references:
Intersport (retail), PernodRicard (FMCG-Beverage), Société Générale (Bank)
www.geoconcept.com
Geo-BI with GEOCONCEPT
® GEOCONCEPT 2013
Geographic analyses and reporting
Reports for Geoconcept
Geoconcept Internet Server
Geoconcept Sales & Marketing Portal
Online cartographic display and reports
Web portal dedicated to geo-BI, analyses and reports