gis-bi
TRANSCRIPT
GIS and BI becomes SI
Geographical Informa6on Systems (GIS)
and Business Intelligence (BI)
becomes Spa6al Intelligence (SI)
S6g Arne Kristoffersen, August 2014
GIS and BI more integrated • Lately GIS and BI has found mutual benefits and begun to leverage each others strength for mutual benefit. • Has opened up a new user group market for both segments and begun to create a new market
• The users are responding with new applica6ons that leverage the synergy of the combined technologies. • technological advancements have fostered their integra6on, and the synergis6c benefits of integrated
applica6ons benefit the en6re organiza6on of a company without disrup6ng exis6ng IT environments.
• Loca6on based extrac6on, transforma6on, and loading (ETL) process in the BI environment creates u6liza6on of new data that may not have anything in common with exis6ng data other than the loca6on
• service-‐oriented architecture (SOA) has begun supplan6ng or augmen6ng data warehousing in BI implementa6ons. One of the business advantages of this plaQorm is that repor6ng and decision making are based on a common opera6onal picture, or "single version of the truth."
• BI has become more graphics intensive, typically charts, are now a common component of reports. As access to BI data became more 6mely, graphic dashboards were developed to monitor key business processes.
• adop6on of standards enabling BI and GIS applica6on providers concentra6ng on working with the data that was most important to users. The BI providers were crea6ng connectors for the most common file formats used by business applica6ons, and GIS providers were crea6ng connec6ons and transforma6ons for the geographic feature formats.
• GISI and BI applica6on providers have technology plaQorms and applica6ons that can meet the needs of enterprise implementa6ons, BI and GIS applica6ons are commonly implemented in unrelated opera6onal units within an organiza6on.
Adop6on of standard technology architectures made integra6ng GIS and BI easier.
Intelligent Maps
Jack Dangermond, president of ESRI, stated, "While business intelligence plaQorms provide access to data across the
enterprise, GIS is able to present this aggregated data as context-‐rich maps. These maps give organiza6ons a powerful new tool to
proac6vely manage their opera6ons."
Spa6al Data Mining
Spa6al Intelligence on Web
ERP Data
CRM Data
Legacy Data
GIS Features
DBMS
Extract Transform and Load
GIS Web Server Data Warehouse
Web based Intelligent Maps
Many Architecture proposals with standard connectors
Spa6al Intelligence on Web
Data Warehouse GIS Features
BI Server GIS Server
Desktop BI Web BI Desktop GIS Web GIS
The BI and GIS Servers are integrated to expose GIS func6onality, or the results of geographic analysis, in the BI user interface. Conversely, BI func6onality, or the results of sta6s6cal business analy6cs, can be exposed in the GIS user interface. Adop6on of SOA by organiza6ons has expedited the u6liza6on of server-‐ based BI and GIS. SOA can take advantage of these sophis6cated connec6ons, or adapters, to periodically update a higher level of data aggrega6on, such as an online analy6cal processing (OLAP) cube, and/or run a persistent model in real 6me.
There are many versions and each user group seems to define its own
ROI on SI Investments Organiza6ons have implemented large BI systems and are looking for ways to extract more value from their significant investments in assets/ products and data. Incorpora6ng GIS to analyze and display exis6ng but underu6lized loca6on data is a rela6vely inexpensive approach to improved return on investment (ROI).
BI is good at providing specific reports to select users at specified 6mes and has a powerful communica6on and decision-‐making capability. BI brings trusted and secured distribu6on of massive datasets throughout the en6re organiza6on and gives the answers to WHO, WHAT and WHEN
GIS has unique powers to analyze and display loca6on data. GIS brings advanced Spa6al Analysis and high impact visuals, hence the Answers as to WHERE
Combining the BI and GIS to create SI will prove to create larger ROI on a company investment in both raw data, analy6cal material and investments in assets/ products etc. GIS brings unique char6ng capabili6es to BI in the form of spa6al rela6onship and distribu6on charts.
Systems SAP Business Objects, Informa6on Builders, IBM Cognos, SAS BI, TIBCO
Companies BI Server, Web Focus, Apos System, Integeo, Galigeo, SpotOn System, MapIt by ESRO, BearingPoint and Accenture
Spa6al perspec6ve on a Important Company’s Business Intelligence
Solu6on Concepts Web
Making SI available to everyone, wherever they need it
Desktop
Mobile
Cloud
Enterprise
Local
QC Standards Visualize Authoring Edit Publish Integrate Collaborate Discover Manage Analyze
SI in E&P Business • Facilitate E&P organiza6ons to perform planning, prospect and field Management to facilitate greater gains in the Upstream value chain by enabling the spa6al component within the E&P BI work throughout the whole organiza6on. • Gain new ways to analyze and gain knowledge from high cost data and evalua6ons performed already. • Mi6gate risks, or said the other way increase the chance of Success. • Spa6al Analy6cs give great ROI for E&P with appropriate and well planned SI projects. • Ease to publish and create interac6ve intelligent web based maps with appropriate BI for your company requirement • Convey an immense amount of informa6on quickly • Collabora6on and communica6on plaQorm • Data enrichment opportuni6es Share cri6cal data for decision making and analysis • New ways of visualize and analyze data
Release data from their func6onal silos, business managers and obtain an aggregated view of their opera6ons and enhance their understanding of the opportuni6es and the interdependencies between assets to op6mize resource alloca6on and capital investment decisions. Enable a fully interac6ve unified view of your opera6ons
Contributes to Safety, Risk Management and Compliance.
Spa6al perspec6ve on Important Company’s Business Intelligence
SI in E&P Business
Take control of your informa6on
Event-‐driven, connec6ng data, applica6ons, people, and processes, ensuring that events and data from one applica6on are available, reliable and ac6onable for other applica6ons in real 6me. As all the data and events across your ecosystem are integrated, you get a unified view of your opera6ons to enable you to op6mize the en6re value chain.
Correlate historical and real-‐6me events, posi6on you to an6cipate problems and opportuni6es before they arise and proac6vely make decisions. By seamlessly integra6ng real-‐6me event streams and predic6ve models, you can move beyond the limita6ons of historical data analysis and iden6fy opportuni6es and risks in real 6me.
Interact with the data, see it in a variety of visualiza6ons, query it and see results immediately in an immersive environment. As you engage in self-‐service discovery, you are empowered to make decisions without relying on IT professionals.
Strategically manage the well lifecycle using data integra6on and collabora6on tools, data visualiza6on and predic6ve analy6cs.