Data Processing During the collection of data‚ our group noted the effect that temperature change had on aquatic macro invertebrates. Our data was collected from three different ponds amongst the Lake Harriet/Lake Calhoun vicinity. We took samples from the bird sanctuary pond‚ Lake Calhoun holding pond and the Lake Harriet duck area. Prior to our procedure‚ we measured the temperatures of each pond area. We used the low-temperature climate (bird sanctuary pond) to compare to the higher-temperature
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In recent years‚ it was commonplace for teenagers to follow post-secondary education in Canada. It is because people know that education is very vital. Moreover‚ times have changed. So‚ if some students just only graduated from secondary school‚ they are not able to face a lot of different job demands in the future. However‚ the cost of post-secondary education is a major barrier to young people. Large debts have become common-place for graduates‚ putting barriers up where‚ instead‚ encouragement
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Data Warehousing‚ Data Marts and Data Mining Data Marts A data mart is a subset of an organizational data store‚ usually oriented to a specific purpose or major data subject‚ that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization. Data marts are often derived from subsets of data in a data warehouse‚ though in the bottom-up data warehouse design methodology the data
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Enhancing Customer Data Enhanced Customer Data Repository is a secure and fully supported data repository with problem determination tools and functions. It updates problem management records (PMR) and maintains full data life cycle management. · combination of all the internal structured business data (CRM‚ ERP‚ POS and all the internal system data) and external unstructured data ( Social media data‚ feedback surveys‚ Audios‚ Videos‚ streaming data‚ Call center data‚ images) · unmanageable volumes
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Face –to-Face Encounters Versus Technological Service Delivery; An Analysis _______________________________________ Introduction There are many benefits as well as possible drawbacks to service delivery that rely solely on technology. With today’s advances in technology almost any customer service option that is offered through a face-to-face service encounter‚ can also be offered through a technology based service encounter. The only aspect of customer service that isn’t available through
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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Data warehousing is the process of collecting data in raw form for analyzing trends. The benefits to data warehousing are improved end-user access‚ increased data consistency‚ various kinds of reports can be made from the data collected‚ gather the data in a common place from separate sources and additional documentation of data. Potential lower computing costs‚ increased productivity‚ end-users can query the database without using overhead of the operational systems and creates an infrastructure
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Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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....................................................................................................... 1 1.2 Executive Summary ............................................................................................................. 1 1.3 Problem statement ................................................................................................................ 2 1.4 Assumption .........................................................................................................
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Adolph Coors Company was founded in 1873 in Golden Colorado by Adolph Coors‚ a German American brewer. Coors joined with another German immigrant‚ Jacob Schueler‚ but later bought out his partner in 1880 and became the sole owner of the brewery. Even through prohibition‚ the company managed to stay intact by expanding into other ventures such as Herold Porcelain‚ malted milk and a near beer production facility. By the end of prohibition‚ the company was one of few breweries that survived. For most
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