'Data consolidation' diaporamas de présentation

Simplified Administrative Services Project

1.03k views • 87 slides

Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining. Data Warehousing and OLAP Technology. Vasileios Megalooikonomou Dept. of Computer and Information Sciences Temple University. (based on notes by Jiawei Han and Micheline Kamber ). Agenda. What is a data warehouse? A multi-dimensional data model

717 views • 53 slides

Solutions from OneTick and R

Solutions from OneTick and R. Portfolio & Risk Analytics Business Cases. Maria Belianina, Ph.D. Director, Pre-Sales Engineering Support. Contents. Data Management & Requirements for Portfolio & Risk Analytics R and OneTick : Addressing the challenges What is OneTick

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Data Warehousing and Decision Support Chapter 25

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Introduction to Data Mining

Introduction to Data Mining. WHAT IS DATA MINING?. WHAT IS DATA MINING?. Data mining is the process of discovering: Meaningful new correlations Patterns Trends

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Introduction

Introduction. HLF Overview 2006 Survey 2008 Survey Tom Beloe UNDP Regional Centre for Asia and the Pacific. Jakarta ? 12 th February. Accra High-Level Forum on Aid Effectiveness Overview. Jakarta ? 12 th February. How did we get where we are?.

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Data Extraction, Utilization, and Assessment

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Data Warehousing and OLAP

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Appraisal Requirements for CMMI

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The Changing Face of IR: How a New Student Record System Changed Our Role and How We Changed with It

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Rob Fletcher Head of Geospatial Platforms & Solutions

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Duval County Public Schools Ed ucation I nformation N etwork Project

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An overview of Data Warehousing and OLAP Technology

An overview of Data Warehousing and OLAP Technology. Original slides by: Manish Desai Modified and presented by Alice Leung. Introduction. Essential elements of decision support Enables The Knowledge Worker to make better and faster decisions Used in many industries like:

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CBP Website Redesign Geography Summit May 29, 2007

CBP Website Redesign Geography Summit May 29, 2007. Goals of the Redesign. Four Goals of the Redesign. The main four goals to achieve in the redesign effort: Standardization Reorganization Integration Data Consolidation (long term). Four Goals of the Redesign. Standardization

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Data Center Services Update Lisa Petoskey Director, Information Technology May 12, 2010

Data Center Services Update Lisa Petoskey Director, Information Technology May 12, 2010. 1. Agenda. Data Center Services (DCS) Overview Budget Issues List. 2.

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Crime Risk Factors Analysis

Crime Risk Factors Analysis. Application of Bayesian Network. Introduction. Urbanization causes the crime problem to increase in magnitude and complexity To provide effective control, with limited resources, law enforcement agencies need to be proactive in their approach

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GLASS Perspective on ISLSCP

GLASS Perspective on ISLSCP. Relationship Between ISLSCP and GLASS. Relationship Between ISLSCP and GLASS. GLASS Panel Meeting. Of relevance to ISLSCP: Assessment of ISLSCP Initiative II status as presented at GSWP-2 Kickoff Workshop

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Solutions from OneTick and R

Solutions from OneTick and R. Portfolio & Risk Analytics Business Cases. Andrew Diamond. Portfolio & Risk Analytics. Increasing data volumes Reference data (corporate actions, name changes, continuous contracts, etc)

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ExTreme Consultancy

ExTreme Consultancy. Our Services. Corporate Training Individual Training Online Training Office Automation IT Solutions. Advanced Excel Training. Excel For Finance Excel For HR Excel For MIS Excel For BPOs/KPOs Excel for Top Executives (CXO,CMO,COO etc.)

232 views • 7 slides