Ewsolutions.com

Law Enforcement Data Warehouse Model

Law Enforcement Data Warehouse Models. EWSolutions Law Enforcement model is designed to provide comprehensive logical and physical models for a data warehouse and select standard data marts for law enforcement organizations, and those agencies that interact with law

Actived: 6 days ago

URL: https://www.ewsolutions.com/law-enforcement-data-warehouse-models/

EWSolutions: Data Management Consulting Services …

(8 days ago) EWSolutions literally wrote the book, actually the 2 top-selling books, on strategy, implementation and best practices on data management and metadata management. No company has EWSolutions track record of success building successful and sustainable data management solutions.

Category:  Laws Go Now

Business Rules Overview

(2 days ago) A business rule statement is a declarative statement, defining some structure or constraint that the business places on itself or has placed on it by law or other means. Each business rule statement may be related to one or more other business rule …

Category:  Business Go Now

Cyber-bullying and Online Harassment

(5 days ago) The law is notoriously slow to adapt to technology, but legal scholars say that if done right, the law can be used as a tool to stop frightening, embarrassing, and unnerving behavior. If the harassment starts to impair a victim’s daily functioning (feeling distress, difficulty eating or sleeping), all the experts agree that the person should

Category:  Laws Go Now

Data Stewardship Roles: A Complete Guide

(8 days ago) Regulations and law can differ based on industry; however, many industry statutes require that a C-Level executive or the company be the owner of the data or specific types of data. Internal Data Ownership. Realistically, a C-Level executive will not be working on a day-to-day basis with the data of a company or large government agency.

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Fundamental Principles of Business Rules

(9 days ago) This material is excerpted from the OMG standard Semantics of Business Vocabulary and Business Rules (SBVR), Version 1.5, pp. 102–103 and 107.. References [1] This SBVR principle is the business counterpart to what in propositional logic is often called the universal ‘and’.This assumption requires that all separate propositions be true (for a body of shared guidance).

Category:  Business Go Now

Data Warehouse Standards

(3 days ago) For example, access to health care data including patient history, diagnosis, laboratory results and pharmaceuticals prescribed are specifically restricted by federal law. Some privacy standards may come from the legal department while others may come from the CEO, marketing or …

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Logical and Physical Data Modeling Overview

(8 days ago) Anne Marie Smith, Ph.D. is an internationally recognized expert in the fields of enterprise data management, data governance, enterprise data architecture and data warehousing.Dr. Smith is VP of Education and Chief Methodologist of Enterprise Warehousing Solutions, Inc. (EWS), a Chicago-based enterprise data management consultancy dedicated to providing clients with best-in-class solutions.

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Four Foundational Data Governance Policies

(9 days ago) The purpose of the data usage policy is to ensure that company data are not misused or abused, and are used ethically, according to any applicable law, and with due consideration for individual privacy. Use of data depends on the security levels assigned by the relevant business data steward.

Category:  Usa,  Business Go Now

Main Components of Data Lineage

(Just Now) Data lineage is an important aspect of a variety of legislation affecting the data from individuals and organizations. Several pieces of legislation have revived interest in data lineage.The Basel Committee on Banking Supervision‘s standard number 239 “Principles for effective risk data aggregation and risk reporting” (BCBS239 or PERDARR) and the EU General Data Protection …

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Leveraging Subject Area Models

(9 days ago) A Subject Area Model (SAM) is a key component of all successfully developed data architecture programs. Often, when a subject area model is created, they are leveraged for only the purpose of segmenting a data model. Whether the subject area model is developed by the organizations, or purchased from a vendor as an industry solution, having a

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The Basics of Data Lineage

(5 days ago) These definitions can serve as a basis for understanding: Data flow is “the transfer of data between systems, applications, or data sets. Data lineage is a description of the pathway from the data source to their current location and the alterations made to the data along the pathway.”.

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Data Governance Consulting Services and Solutions

(3 days ago) Data Governance is a foundational capability for any organization that needs to adhere to various government regulations. Governance allows a company to understand and properly manage its enterprise data. EWSolutions has implemented successful data governance programs since 1997 in some of the most demanding client partner environments.

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Enterprise Data Modeling

(3 days ago) Enterprise Data Model Approaches. There are three main approaches to data modeling, and each part of an enterprise data model generally uses one of these approaches.. Subject area models use the top-down EDM technique that focuses on fact-finding discussions with participants from various business areas who are responsible for the collection or use of data.

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Guiding Principles of Enterprise Information Management

(4 days ago) Dr. David P. Marco, PhD, Fellow IIM, CBIP, CDP is an internationally recognized expert in the field of data warehousing, business intelligence, enterprise data management, data governance, and is the industry’s leading authority on metadata. Mr. Marco is founder and President of Enterprise Warehousing Solutions, Inc. (EWS), a Chicago-based enterprise data management consultancy …

Category:  Business Go Now

Foundations of Database Operations

(Just Now) Anne Marie Smith, Ph.D. is an internationally recognized expert in the fields of enterprise data management, data governance, enterprise data architecture and data warehousing.Dr. Smith is VP of Education and Chief Methodologist of Enterprise Warehousing Solutions, Inc. (EWS), a Chicago-based enterprise data management consultancy dedicated to providing clients with best-in-class solutions.

Category:  Education Go Now

Reference and Master Data Management

(1 days ago) Anne Marie Smith, Ph.D. is an internationally recognized expert in the fields of enterprise data management, data governance, enterprise data architecture and data warehousing.Dr. Smith is VP of Education and Chief Methodologist of Enterprise Warehousing Solutions, Inc. (EWS), a Chicago-based enterprise data management consultancy dedicated to providing clients with best-in-class solutions.

Category:  Education Go Now

Data Governance Guiding Principles

(3 days ago) Data Governance Guiding Principles. Data is essential to making and enforcing decisions regarding an organization’s information assets for enterprise effectiveness. Developing and documenting a common vocabulary for data in easily accessible glossaries and repositories is an important function for a data management organization.

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Data Management University Blog

(5 days ago) Read the latest blog post from Data Management University (DMU), with resources for your data management, data governance, metadata management, business intelligence etc efforts.

Category:  Business,  University Go Now

Data Privacy and Security Challenges with Cloud Computing

(6 days ago) Challenges exist for enabling data privacy and data security when implementing cloud technologies. Interesting insights on the enablement of digital capabilities using cloud-based data capabilities came from a recent survey of C-suite, Information Technology and …

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Data Governance & Information Governance Training

(3 days ago) Dr. David P. Marco, President of EWSolutions. Data governance provides oversight and management of data as an organizational asset, based on development and implementation of policies, practices, and standards that can add value to any enterprise. EWSolutions’ data governance training courses offer a total approach to data governance, from

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Automated Data Governance Assessment

(4 days ago) Every organization that has started a data governance and / or data stewardship program should have an assessment of its efforts performed after one year, to establish a performance baseline. This evaluation should be based on industry standards and best practices, and should form the basis of a roadmap for the program’s next two-three years. […]

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Data Management Training Courses

(3 days ago) EWSolutions’ training courses in data management and its component disciplines can help you identify and implement an inclusive data strategy that meets your organization’s needs. EWSolutions’ data management training courses cover the spectrum from data strategy, through data management program implementation, to specific courses in each

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Performance Metrics for Data Governance and Data

(1 days ago) Anne Marie Smith, Ph.D. is an internationally recognized expert in the fields of enterprise data management, data governance, enterprise data architecture and data warehousing.Dr. Smith is VP of Education and Chief Methodologist of Enterprise Warehousing Solutions, Inc. (EWS), a Chicago-based enterprise data management consultancy dedicated to providing clients with best-in-class solutions.

Category:  Education Go Now

Data Governance Organization and Titles

(8 days ago) Dr. David P. Marco, PhD, Fellow IIM, CBIP, CDP is an internationally recognized expert in the field of data warehousing, business intelligence, enterprise data management, data governance, and is the industry’s leading authority on metadata. Mr. Marco is founder and President of Enterprise Warehousing Solutions, Inc. (EWS), a Chicago-based enterprise data management consultancy dedicated to

Category:  Business Go Now

Enterprise Data Management Assessment

(6 days ago) Anne Marie Smith, Ph.D. is an internationally recognized expert in the fields of enterprise data management, data governance, enterprise data architecture and data warehousing.Dr. Smith is VP of Education and Chief Methodologist of Enterprise Warehousing Solutions, Inc. (EWS), a Chicago-based enterprise data management consultancy dedicated to providing clients with best-in-class solutions.

Category:  Education Go Now

Dimensional Data Modeling Fact Qualifier Matrix

(6 days ago) The Fact Qualifier Matrix is an important component of dimensional modeling in data warehouse and business intelligence environment development. However, traditional FQM cannot meet all the needs of complex business users, so data architects should consider using an expanded Fact Qualifier Matrix to support robust dimensional modeling.

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Data Warehouse Data Model

(1 days ago) EWSolutions’ Financial Accounting model is designed to provide comprehensive logical and physical models for a data warehouse and select standard data marts, for any organization that has a financial accounting function. These comprehensive models significantly reduce the amount of time required for data modeling; the most time consuming

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Data Management, Data Governance, Metadata

(3 days ago) Advanced Data Modeling Training. All our courses are taught by leading practitioners in data management, data governance, metadata management, data warehousing and business intelligence, data modeling, requirements gathering. Successful completion of an EWSolutions’ course provides Continuing Professional Development Unit (PDU) credits.

Category:  Business Go Now

Data Modeling and Data Architecture Training

(3 days ago) Dr. Anne Marie Smith. Vice President of Education EWSolutions. Data modeling provides a vehicle for users and information professionals throughout the organization to work together to clearly and consistently articulate business rules and requirements. Data architecture allows an organization to identify the important data needed for business

Category:  Education,  Business Go Now

Data Governance Assessments Data Maturity Assessment

(6 days ago) An assessment of the organization’s data governance efforts and practices is considered a proper first start in developing a valid representation of the data governance current practices and areas of strength and weakness. The most general definition of an audit is an evaluation of a person, organization, system, process, project or product.

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4 Workforce Thoughts for Information Governance

(2 days ago) According to Gartner, Information Governance is the specification of decision rights and an accountability framework to ensure appropriate behavior in the valuation, creation, storage, use, archiving and deletion of information. It includes the processes, roles and policies, standards and metrics that ensure the effective and efficient use of

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Business Analyst Toolkit

(3 days ago) Nimil Parikh is an experienced business analyst who transforms business processes by leveraging IT tools and applications.He has demonstrated skills in modeling, analyzing, measuring, improving, optimizing and automating business processes. He adds value by his ability to context switch while providing cross-functional business solution and ensuring timely delivery by managing and …

Category:  Business Go Now

Business Requirements Training

(9 days ago) “Business requirements management is a major, often overlooked, function of any successful organization. It is imperative that all data management and business analysis professionals become adept in all the activities of business requirements management (discovery, documentation, analysis, etc..) so business needs can be understood and communicated across the organization clearly.”

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The Four Types of Chief Data Officers

(6 days ago) The Four Types of CDOs. The four types of CDOs are the Tail Chaser, the Resume Builder, the Collaborator, and the Pioneer. The Tail Chaser CDO. The good thing about the Tail Chaser CDO is that he or she is usually open to advice. Putting aside for the moment the tongue-in-cheek name of this type, there is nothing wrong with being a little

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Data Governance Methodology Data Governance Approach

(9 days ago) EWSolutions’ data governance methodology, G3 sm the industry’s only comprehensive, iterative, scalable and flexible approach to developing and managing the complex discipline of data governance and stewardship. Combining data governance strategy with the relevant organizational and policy activities of data governance with the tactical and operational tasks of data stewardship, including

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The Increasing Importance of Metadata and Lineage

(7 days ago) The metadata management application can: Here are some of the key benefits of using a Metadata Management tool: 1. Cheaper and faster project execution – Projects aiming to deliver a data related solution tend to spend ~20% of their time in understanding data, …

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The Role of Architecture in Delivering Optimal Customer

(Just Now) Defining a detailed and very useful user story, as described in Figure 10 above, based on an architected customer journey would accelerate greatly its delivery.Most of the words used in this user story are made up of detailed elements defined and structured within the business and enterprise architecture of the company, including capabilities, stakeholders, value streams, information concepts

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Data Governance Program Team Structure

(7 days ago) Anne Marie Smith, Ph.D. is an internationally recognized expert in the fields of enterprise data management, data governance, enterprise data architecture and data warehousing.Dr. Smith is VP of Education and Chief Methodologist of Enterprise Warehousing Solutions, Inc. (EWS), a Chicago-based enterprise data management consultancy dedicated to providing clients with best-in-class solutions.

Category:  Education Go Now

Foundations of Data Stewardship Data Steward Training

(7 days ago) Data stewardship is the role practiced by business staff that implements the policies and standards developed by data governance professionals. Data stewards ensure the quailty of data for use. Data stewardship is the management and oversight of an organization’s data assets according to established data governance practices.

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Metadata Definitions

(4 days ago) Dr. David P. Marco, PhD, Fellow IIM, CBIP, CDP is an internationally recognized expert in the field of data warehousing, business intelligence, enterprise data management, data governance, and is the industry’s leading authority on metadata. Mr. Marco is founder and President of Enterprise Warehousing Solutions, Inc. (EWS), a Chicago-based enterprise data management consultancy …

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Data Governance Archives

(3 days ago) Data Governance. Data governance is the foundational component of the enterprise data management function. Data governance develops and implements data management policies and data management standards across and within the organization. Data governance best practices include alignment of metadata and data governance, data quality and data

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