The document discusses using a multi-dimensional data model to organize both documents and databases for information management. It proposes using dimensions like ownership, operating concepts, lines of development, and perspectives to categorize data. By applying this framework to both document folder structures and database designs with foreign keys, a unique coordinate system can be created to locate any data element across both documents and databases. This allows complex search requests that span both document libraries and databases to be answered more efficiently.
Ooluk Data Dictionary Manager allows easy metadata management for heterogeneous databases. You can document and tag your entire data envionment allowing users to better understand your data.
Ooluk Data Dictionary Manager allows easy metadata management for heterogeneous databases. You can document and tag your entire data envionment allowing users to better understand your data.
A template defining an outline structure for the clear and unambiguous definition of the discreet data elements (tables, columns, fields) within the physical data management layers of the required data solution.
Howdy! Check this cool example of business analytics project. http://www.mbacapstoneproject.com/writing-winning-business-analytics-mba-capstone-tips-ideas-examples/
In this new paper, I explore the organisational and cultural challenges of implementing information governance and data quality. I identify potential problems with the traditional centralised methods of data quality management, and offer alternative organistional models which can enable a more distributed and democratised approach to improving your organisations data. I also propose a simple four-step approach to delivering immediate business value from your data.
A template to define an outline structure for the clear and unambiguous definition of the discreet component data elements (atomic items of Entity/Attribute/Relationship/Rule) within the Logical layer of an Enterprise Information Model (a.k.a. Canonical Model).
Data Quality in Data Warehouse and Business Intelligence Environments - Disc...Alan D. Duncan
Time and again, we hear about the failure of data warehouses – while things may be improving, they’re moving only slowly. One explanation data quality being overlooked is that the I.T. department is often responsible for delivering and operating the DWH/BI
environment. What ensues ends up being an agenda based on “how do we build it”, not a “why are we doing this”. This needs to change. In this discussion paper, I explore the issues of data quality in data warehouse, business intelligence and analytic environments, and propose an approach based on "Data Quality by Design"
Detailed slides of data resource management. The relationships among the many individual data elements stored in databases are based on one of several logical data structures, or models.
A template defining an outline structure for the clear and unambiguous definition of the discreet data elements (tables, columns, fields) within the physical data management layers of the required data solution.
Howdy! Check this cool example of business analytics project. http://www.mbacapstoneproject.com/writing-winning-business-analytics-mba-capstone-tips-ideas-examples/
In this new paper, I explore the organisational and cultural challenges of implementing information governance and data quality. I identify potential problems with the traditional centralised methods of data quality management, and offer alternative organistional models which can enable a more distributed and democratised approach to improving your organisations data. I also propose a simple four-step approach to delivering immediate business value from your data.
A template to define an outline structure for the clear and unambiguous definition of the discreet component data elements (atomic items of Entity/Attribute/Relationship/Rule) within the Logical layer of an Enterprise Information Model (a.k.a. Canonical Model).
Data Quality in Data Warehouse and Business Intelligence Environments - Disc...Alan D. Duncan
Time and again, we hear about the failure of data warehouses – while things may be improving, they’re moving only slowly. One explanation data quality being overlooked is that the I.T. department is often responsible for delivering and operating the DWH/BI
environment. What ensues ends up being an agenda based on “how do we build it”, not a “why are we doing this”. This needs to change. In this discussion paper, I explore the issues of data quality in data warehouse, business intelligence and analytic environments, and propose an approach based on "Data Quality by Design"
Detailed slides of data resource management. The relationships among the many individual data elements stored in databases are based on one of several logical data structures, or models.
Salcom Identiteetti – Tuumasta toimeen! Salcom Groupin IdM-esitys Microsoft TechDays 2011 tapahtumassa by Pertti Eskelinen, Tuomas Hautala & Harri Tuuva. Miltä tuntuisi saada identiteetin hallinnasta todellisia hyötyjä loppukäyttäjille alle viikossa? Salcom Group lähestyy käyttöoikeuksien hallintaa konkreettisten ratkaisujen avulla: AD-hallinta ja automaattinen provisiointi, salasanojen synkronointi, vahva tunnistaminen, kertakirjautuminen (eSSO), jne. Koska Active Directory on identiteetin hallinnan perusta, lähtee onnistunut IAM-projekti liikkeelle toimivasta ja dynaamisesta Active Directorysta. Ratkaisumme muodostavat IAM-kokonaisuuden tai integroituvat olemassa oleviin ratkaisuihin (esim. Forefront Identity Manager, FIM) ja antavat nopeasti konkreettista hyötyä. Tule kuulemaan, miten asioita on toteutettu asiakkaillamme.
Yrittäjä Kaisa-Leena Korhosen esitys UORKA&MATKAILU-päivässä 1.11.2013. Ulkokallan majakkasaari on eksoottinen matkailukohde, jossa ruoka on merkittävässä osassa palvelutuotetta. Matkakohde ammentaa historiasta ja tarjolla onkin nykypäivään tuotuja kalastajien ja majakanvartijoiden menuja. Ruoka-aineista kalat kuten merilohi, siika, muikku, ahven ja nahkiainen ovat suosiossa. Marjat, juurekset ja kasvikset saadaan läheltä ja leivätkin leivotaan pääsääntöisesti itse. Kahvia ja teetä lukuun ottamatta kaikki raaka-aineet ovat ehtaa lähiruokaa.
La eHealth como acción clave de la Agenda Digital para Europa 2020, de Xavie...DIGIBIS
Material de apoyo de la conferencia de la intervención de Xavier Aganjo, director de Proyectos de DIGIBÍS y de la Fundación Ignacio Larramendi, en la Jornada: "La participación de la sociedad civil: el papel de las fundaciones en el sector salud".
Suomen ruoka&matkailustrategiaa työstetään vuonna 2014 HAAGA-HELIAssa ja oheinen esitys kertoo strategiatyön etenemisestä. Sisältönä ruokamatkailun kehityskaari, ruokamatkailun merkitys, ruokamatkailun strategiatyön vaiheet. Esityksen ovat tehneet Kristiina Havas & Kristiina Jaakonaho HAAGA-HELIAsta
data collection, data integration, data management, data modeling.pptxSourabhkumar729579
it contains presentation of data collection, data integration, data management, data modeling.
it is made by sourabh kumar student of MCA from central university of haryana
DISCUSSION 15 4All students must review one (1) Group PowerP.docxcuddietheresa
DISCUSSION 15 4
All students must review one (1) Group PowerPoint Presentation from another group and complete the follow activities:
1. First each student (individually) must summarize the content of the PowerPoint of another group in 200 words or more.
2. Additionally each student must present a detailed discussion of what they learned from the presentation they summarized and discuss the ways in which they would you use this information in their current or future profession.
PowerPoint is attached separately
Homework
Create a new product that will serve two business (organizational) markets.
Write a 750-1,000-word paper that describes your product, explains your strategy for entering the markets, and analyzes the potential barriers you may encounter. Explain how you plan to ensure your product will be successful, given your market strategy.
Include an introduction and conclusion that make relevant connections to course objectives.
Prepare this assignment according to the APA guidelines found in the APA Style Guide
Management Information Systems
Campbellsville University
Week 15: PowerPoint Presentation
Topic: Data
Group: E
GROUP MEMBERS FULL NAME
Data
Data can be defined as a specific piece of information or a basic building block of information.
Data is stored in files or in databases.
Data can be presented into tables, graphs or charts, so that legitimate and analytical results can be derived from the gathered information.
An authentic data is very important for the smooth running of any business organizations. It helps IT managers to make effective decisions. Data helps to interpret and enhance overall business processes (Cai & Zhu, 2015).
Uses of Data
The main purpose of data is to keep the records of several activities and situations.
Gathering data helps to better understand the interest of customers which can enhance the sales of organization (Haug & Liempd, 2011).
Relevant data assists in creating strong business strategies.
Use of big data helps to promote service support to the customers. It also helps organizations to find new markets and new business opportunities.
After all, data plays a great role in running the company more effectively and efficiently.
Data Management
Data management is the implementation of policies and procedures that put organizations in control of their business data regardless of where it resides. Data management is concerned with the end-to-end lifecycle of data, from creation to retirement, and the controlled progression of data to and from each stage within its lifecycle (Dunie, M. 2017).
Data Management
Information technology has evolved to deal with the most important data management computer science which helps the computer leads to the advantage of a navigable and transparent communication space.
Large volumes of data can be processed and managed with the help of management systems through the methods of algebra with applications in economic engineering especially in ...
http://www.embarcadero.com
Data yields information when its definition is understood or readily available and it is presented in a meaningful context. Yet even the information that may be gleaned from data is incomplete because data is created to drive applications, not to inform users. Metadata is the data that holds application
data definitions as well as their operational and business context, and so plays a critical role in data and application design and development, as well as in providing an intelligent operational environment that's driven by business meaning.
8th of 8 slide decks aimed at helping small to medium enterprises illustrating some of the issues to be considered when commissioning a web site for the first time. Final, summary slide deck. This deck also contains links to other, hopefully useful links on information management architectures that we hope people will find useful
GDPR and EA - Commissioning a web site part 7 - Choosing a web site developerAllen Woods
Seventh of eight decks written to provide overview guidance of the way the web works for small to medium sized enterprises who are considering commissioning a web site for the first time. Arguably, the preceding six decks are primarily concerned with the subject matter of this deck.
GDPR and EA Commissioning a web site Part 6 of 8Allen Woods
Sixth of eight decks written to provide overview guidance of the way the web works for small to medium sized enterprises who are considering commissioning a web site for the first time. This deck introduces the idea that a web site is "not just for Christmas" and once set live, arguably, the work begins. Search engine optimisation (SEO) and cookie management and some of their associated legal issues are introduced
GDPR and EA Commissioning a web site part 5, writing a web pageAllen Woods
5th of eight slide decks targeted at small to medium sized enterprises considering commissioning a web site for the first time. It uses a simple "Hello World" exercise to illustrate some of the factors to consider when building a web page including routing through to support component and the concept of the "twin seductions of free and simple".
GDPR and EA Commissioning a web site. 1 of 8. IntroductionAllen Woods
Aimed at small to medium sized enterprises considering commissioning a web site for the first time. The deck introduces the concept of the organisation boundary as the architectural basis for such an exercise.
GDPR and EA - Commissioning a web site Part 4. The nature of the webAllen Woods
Fourth of eight decks written to provide overview guidance of the way the web works for small to medium sized enterprises. It takes a quasi OSI 7 layer analogy to explain, from chips to the net itself how connectivity is established
GDPR and EA Commissioning a web site part 2 - Legal EnvironmentAllen Woods
Second of 8 slide decks aimed at small to medium enterprises on factors to consider when commissioning a web site. This slide deck focusing on a changing legal environment brought about because of legislation like the EU GDPR
Information management architecture concept modelAllen Woods
Part of an information managers course that sets out a simple IS architectural model that explains how the relationships between corporate strategy and process can be mapped from the perspective of the information manager
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
Accpac to QuickBooks Conversion Navigating the Transition with Online Account...PaulBryant58
This article provides a comprehensive guide on how to
effectively manage the convert Accpac to QuickBooks , with a particular focus on utilizing online accounting services to streamline the process.
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
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This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
Taurus Zodiac Sign_ Personality Traits and Sign Dates.pptxmy Pandit
Explore the world of the Taurus zodiac sign. Learn about their stability, determination, and appreciation for beauty. Discover how Taureans' grounded nature and hardworking mindset define their unique personality.
1. The Organisation As A System An information management framework The Performance Organiser Data Dimensions
2. Data Dimensions One of the principal aims for information management is to put in place arrangements to store data in its atomised form in unique, retrievable locations so that it can be converted on demand into the meaningful information decision takers require.
3. Data Dimensions Information managers may not be responsible for quality of content, but they are responsible for ensuring that as far as possible, the data they are asked to store has been verified for accuracy and validated for the form it takes.
4. Data Dimensions The difficulty information managers face is the diversity of the forms of data they must manage best exemplified by documents and databases... Documents are normally stored on the basis of one file per document. Databases are used to store large volumes of recorded data but may be contained in a single computer file
5. Data Dimensions Both data forms are searchable, but different search methods are used for each and often different cataloguing mechanisms are applied that that do not, by their nature, support cross referencing. As a consequence searching databases and document libraries in a way that both can be used on a mutually supportive basis is difficult.
6. Data Dimensions From the perspective of location, the key to successful retrievable storage is a system of co-ordinate definition and management that can be applied to any form of data.
7. Data Dimensions The way data is stored in a databases relies on the concept of key fields, typically expressed in numeric form that form part of the data structure of a record. The way files are stored on a computer relies on concept documents grouped into folders or libraries. The combination of folder structure and file name giving a file location
8. Data Dimensions In design terms, both folder structures and database designs are often represented as schematics that present a map of each type of data source. Data table one Data table one Design Accounts Production Goods In Stores Etc
9. Data Dimensions Maps are schematics that describe location using a numbered co-ordinate system to uniquely reference the feature illustrated on it. The co-ordinate system used in most maps is two dimensional Eastings Northings 8,8
10. A two dimensional co-ordinate system does not reflect the richness of data and therefore some form of multi dimensional approach to referencing data locations is required that can be applied to both database designs, document library folder structures and file names so that both can be cross referenced using the same nomenclature. Data Dimensions
11.
12. The First Dimension, Ownership In All Organisations, there is usually some form of organisation or management structure designed to facilitate control and communication Data Dimensions Mgr Mgmnt Mgr Strmn Engr Mgr Dept 1 Strmn Engr Mgr Dept 1 Strmn Engr Mgr Proj 1 Strmn Engr Mgr Proj 2
13. Data Dimensions The Second Dimension: Operating Concepts While organisations may have a structure for formal communication channels, it is often the case that the form of reports passed round the organisation are based on operating concepts and reporting requirements.
14. Charter Mission Data Dimensions Vision Strategic Objectives Objective Objective Objective Process Process Process Process Process Process Process Process Process Policy Governance Assurance
15. Data Dimensions The Third Dimension: Activity Strands or Lines of Development The organisation chart may define primary function, but it is often the case that there are support activities and processes that cross organisation boundaries (training for example) that are common in principle and in practise.
16. Time Data Dimensions Logisitics Finance Governance Sales Programmes R&D Initiative Groups Decisive Points Along Time Lines Produce The best Widgets Vision
17. The Fourth Dimension: Influencers Influencers are those factors or activities that are not core and may be imposed by external bodies, that have an impact that should be measured, on the behaviour of the organisation Data Dimensions
18. The Organisation As A System Influencers Concepts Policy Governance Quality Audit Data Databases Documents The Web Disciplines Plans Risk Issues Lessons Legislation Finance Stakeholders The Law Performance Quality Assurance Time Cost Customers
19. The Fifth Dimension: Perspectives Perspectives are views of the organisations activities often seen in management reporting consoles like dashboards or balanced scorecards that are used to logically group management information Data Dimensions
21. Data Dimensions Together: A Multi Dimensional Location Matrix When built in to database design structures, document library folder structures and file meta data, the dimensions for a referencing matrix with which it is possible to locate any data element as the cartesian product of the cross referencing of two or more dimensions
22. Data Dimensions A 3d view, but add as many dimensions as you like Ownership - LOD LOD - Concepts Concepts - Ownership Fact Table LOD Table Dimension Foreign Key LOD Folders File Tags Lines of Development Org Table Organisation Folders Dimension Foreign Key Fact table File Tags Ownership Concepts Table Fact Table File Tags Concepts Folders Dimension Foreign Key Operating Concepts Multi Dimensional Addressing
23. Data Dimensions In database designs, dimensions are implemented as look up tables the primary keys of which form foreign keys in primary data tables Dimension Look Up Data table one
24. Data Dimensions In document libraries, dimension titles become folder names For each For each Organisation Structure (Ownership) Design Accounts Production Goods In Stores Etc Operating Concepts Policy Governance Assurance Quality HR Etc Lines of Development Training Finance Admin R&D
25. Data Dimensions and, form part of the file profile tags or meta data. Which, together with a standard naming convention, will give a unique file location which will also include an indication of the nature of content of individual files.
26. Data Dimensions A multi dimensional data model, applied to both documents and database structures gives an information manager the means the answer complex search requests like: “ Give me a financial breakdown of the R&D department and provide me with the documents related to training matters in the branch” And do so more efficiently as reporting specifications can be quickly turned into data co-ordinates which can be used to locate files held in folders or data held in database tables.