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Business Intelligence by Mind Map: Business Intelligence
5.0 stars - 19 reviews range from 0 to 5

Business Intelligence

Business analytics


the capability of efficiently manipulating & analyzing data from multiple perspectives

it answers to

‘who?’ ‘what?’ ‘what if?’ ‘why?’

Information & knowledge discovery

Data Mining

Search engines

Decision support & inteligent systems


Web analytics

related to

the use of big data (is a collection of data sets so large and complex) to see correlations

Business process management



Focuses con strategy & objectives. Uses processes, methodologies, metrics & technology to measure, monitor and manage business financial & operational performance

difference with BI

BI not focused on strategy it is the technology used to access, analyze and report data. BPM strategy driven. Turn strategy into execution


Strategiza, Answers: What? Mission, goals, objectives, incentives

Plan, Answer: how? Budgets, plans, forecast, models, targets

Monitor/analysis, Performance dashboards, scoreboards, reports & analysis

Act/adjust, Collaborate, assess, decide


Metrics, types, -Sales operation -Service performance (SLAs) -Customer performance (satisfaction) -Sales plan/forecast, showed in, Balance scoreboards, performance measurement & a management methodology --> organization's financial, customer, internal process and learning & growth objectives & targets into a set of actionable initiatives for executives, Dashboards, provide visual displays of important information (KPIs) that is consolidated and arranged on a single screen so that information can be digested at a single glance and easily explored used for tactical levels

can be helped by

Six Sigma (variance reduction)

Lean (focused on waste)


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Data Warehouse


decision support and provides improved analytical capabilities


subject oriented

integrated, data access (the ability to access and extract data from any data source), data federation (the integration of business views across multiple data stores), and change capture (identification, capture, and delivery of the changes made to enterprise data sources) through Extract, transformation and load (ETL)

time variant



metadata, provide enriching information that leads to the creation of knowledge


Enterprise data warehouse (EDW), large-scale data warehouse that is used across the enterprise for decision support

Operational Data Stores (ODS), short-time storage of information

Data marts, subsets of a data warehouse focused on a department

development approaches

Top-down (integrating enterprise systems)

Bottom-up (with departmental data marts)

representation of the data

Dimensional modeling, snowflake schema, star schema, creation process (kimball), select business process, granularity, dimensions, metrics


OLAP, To support decision making and provide answers to business and management queries

OLTP, To get data from different sources but is different to OLAP in the sense that OLTP focuses on capturing and storaging data


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Architectures, tools, databases, analytical tools, apps, & methodologies to recollect, integrate, analysis & presentation of information useful for the business making decision process



how the end user interact with all the analysis and information available, displayed through, geographical information systems, Scoreboards, Dashboards, 3 layers of information, monitoring, analysus, management, corporate portals




Provide accurate information when needed

Real-time view of the corporate performance and its parts

Produce predictions

Drilldown to details Support business strategy to accomplish goals



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Examen final de BI Cesar Padilla Ordoñez 1047449