TV NIGERIA is positioned to project, promote and celebrate the great potential of Nigeria from diverse perspectives cutting across governance, economy, and the socio-cultural diversity of Nigeria with the sole Target to promote the Nigeria brand.

Full Names: Omotayo Risikat Oluwakemi

Business:: fabrics/edible dry foods/baking

Business Name: Endowed Concept

Address: 34 Aina street Orisunbare off Idimu road.

Social media handles:@Endowedfabrics_ndmore/@endowedbakes_et_edibles
Phone Numbers:08068685442

Gerencia de Datos Geoespaciales y Técnicas ETL.
Seminario Web dictado por Stalin Sulbaran el 27/Feb/2021.
Evento organizado por SIGGMA (www.siggma.world).
Email: info@siggma.world.

Data architecture is foundational to an information-based operational environment. It is your data architecture that organizes your data assets so they can be leveraged in your business strategy to create real business value. Even though this is important, not all data architectures are used effectively. This webinar describes the use of data architecture as a basic analysis method. Various uses of data architecture to inform, clarify, understand, and resolve aspects of a variety of business problems will be demonstrated. As opposed to showing how to architect data, your presenter Dr. Peter Aiken will show how to use data architecting to solve business problems. The goal is for you to be able to envision a number of uses for data architectures that will raise the perceived utility of this analysis method in the eyes of the business.

Takeaways:

- Understanding how to contribute to organizational challenges beyond traditional data architecting
- How to utilize data architectures in support of business strategy
- Understanding foundational data architecture concepts based on the DAMA DMBOK
- Data architecture guiding principles & best practices

Businesses cannot compete without data. Every organization produces and consumes it. Data trends are hitting the mainstream and businesses are adopting buzzwords such as Big Data, data vault, data scientist, etc., to seek solutions for their fundamental data issues. Few realize that the importance of any solution, regardless of platform or technology, relies on the data model supporting it. Data modeling is not an optional task for an organization’s data remediation effort. Instead, it is a vital activity that supports the solution driving your business.

This webinar will address emerging trends around data model application methodology, as well as trends around the practice of data modeling itself. We will discuss abstract models and entity frameworks, as well as the general shift from data modeling being segmented to becoming more integrated with business practices.

Takeaways:

How are anchor modeling, data vault, etc. different and when should I apply them?
Integrating data models to business models and the value this creates
Application development (Data first, code first, object first)

Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “big data,” “NoSQL,” “data scientist,” and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, Data Modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important the data models driving the engineering and architecture activities of your organization become. This webinar illustrates Data Modeling as a key activity upon which so much technology depends.

The last month of Data Quality immersion for JG Cowper, Estie Boshoff (Pr. Eng.), and I have been eye-opening. I have done several DQ projects, but I never approached DQ with a view of delivering value.

The DQ Initial Assessment delivers value in spades:
1. Feedback to application developers as to where we faced DQ challenges

2. Stakeholder Interactions that revealed Data Capture quirks

3. Data Issues for the Data Management Office

4. Data Remediation suggestions which will lead to subsequence Data Projects, for example, Reference and Master Data

5. Frequency analysis for the Data Scientists

6. Business Revenue impact analysis

The most important revelation was that this assessment could be done quickly and reveal all sorts of challenges, even before building the data product.

To learn more about our training and upcoming webinars:

Follow Howard Diesel on LinkedIn:
linkedin.com/in/howarddiesel-infogovernance

For more information on our services:
www.modelwaresystems.com
https://dama.org.za

Join DAMA Southern Africa and Modelware Systems events to learn about data management:
https://www.meetup.com/dama-sa....-data-management-mee

African Data Management Community Forum 2022-09-22

Get guidance on how to think about and establish realistic Big Data management plans and expectations for generating business value. View more Data-Ed webinars with Peter Aiken: https://www.dataversity.net/ca....tegory/education/web

TV NIGERIA is positioned to project, promote and celebrate the great potential of Nigeria from diverse perspectives cutting across governance, economy, and the socio-cultural diversity of Nigeria with the sole Target to promote the Nigeria brand.

TV NIGERIA is also a multichannel tv programme content provider targeted at meeting the need of a massive population of both local and international viewers across the globe.
#TVNigeria #NewsNigeria
#TinubuInBayelsa
#SpotifyWrapped
Otedola
#justiceforUNNstudents
#resign
Onitsha
NNPC
Muslim Muslim
#PeterObiForPresident2023
Taraba
Bishop David Oyedepo
#BurnaBoy
#AOTLAGOS
#aot

TV NIGERIA is positioned to project, promote and celebrate the great potential of Nigeria from diverse perspectives cutting across governance, economy, and the socio-cultural diversity of Nigeria with the sole Target to promote the Nigeria brand.

TV NIGERIA is also a multichannel tv programme content provider targeted at meeting the need of a massive population of both local and international viewers across the globe.
#TVNigeria #NewsNigeria

Organizations must fully understand the difference between Data Management and Data Strategy to fully achieve their respective goals. View more Data-Ed webinars with Peter Aiken: https://www.dataversity.net/ca....tegory/education/web

Organizations must realize what it means to utilize data quality management in support of business strategy. This webinar will illustrate how organizations with chronic business challenges often can trace the root of the problem to poor data quality. Showing how data quality should be engineered provides a useful framework in which to develop an effective approach. This in turn allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from re-occurring.

Takeaways:

Understanding foundational data quality concepts based on the DAMA DMBOK
Utilizing data quality engineering in support of business strategy
Data Quality guiding principles & best practices
Steps for improving data quality at your organization

Although metadata management is one of the core components of the Enterprise Data Management discipline, many organizations have difficulty justifying an Enterprise Metadata Management program. In many instances, metadata is viewed narrowly as a technical issue.

This presentation will center around leveraging metadata best practices in a practical manner to solve business critical problems - specifically, the following topics will be discussed:

* Common business vocabulary across the enterprise and the governance process around it
* Impact analysis -- data traceability through the layers of architecture
* Root cause analysis -- data lineage from the point of entry through the point of consumption by systems and reports
* Leveraging operational metadata for real-time and near real-time straight-through (lights-out) processing

The difficulty of implementing a new data strategy often goes underappreciated, particularly the multi-faceted procedural challenges that need to be met while doing so. Deficiencies in organizational readiness and core competence represent clearly visible problems faced by data managers, but beyond that there are several cultural and structural barriers common to virtually all organizations that must be eliminated in order to facilitate effective management of data. This webinar will discuss these barriers--as well as the titular "Seven Deadly Data Sins"--and in the process will also:

- Elaborate upon the three critical factors that lead to strategy failure
- Demonstrate a two-stage data strategy implementation process
- Explore the sources and rationales behind the “Seven Deadly Data Sins”, and recommend solutions and alternative approaches

We are in the middle of a data flood and we need to figure out how to tame it without drowning. Most of what has been written about Big Data is focused on selling hardware and services. But what about a Big Data Strategy that guides hardware and software decisions? While virtually every major organization is faced with the challenge of figuring out the approach for and the requirements of this new development, jumping into the fray hastily and unprepared will only reproduce the same dismal IT project results as previously experienced. Join Dr. Peter Aiken as he will debunk a number of misconceptions about Big Data as your un-typical IT project. He will provide guidance on how to establish realistic Big Data management plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers without getting lost in the hype.

Takeaways:

The means by which Big Data techniques can complement existing data management practices
The prototyping nature of practicing Big Data techniques
The distinct ways in which utilizing Big Data can generate business value
Bigger Data isn’t always Better Data

Get details on the foundations of data warehousing and how to utilize it in support of business strategy. View more Data-Ed webinars with Peter Aiken: https://www.dataversity.net/ca....tegory/education/web

Diego Perez is a meditator, writer, and speaker who is most widely known on Instagram and various social media networks through his pen name Yung Pueblo. The name Yung Pueblo means young people; it serves to remind him of his Ecuadorian roots, his experiences in activism, and that the collective of humanity is in the midst of important growth.

Subscribe to the Flowerlounge Podcast at:
http://www.lotuswei.com/podcast

***

Katie is the founder of LOTUSWEI, SAN Center + EARTHAURA, and host of the Flowerlounge Podcast.

She weaves together the beauty + wisdom of nature, with a fiercely intuitive + compassionate approach to business. She has grown three innovative businesses centered around awakening our true potential. She integrates Eastern ancient wisdom practices with modern accessibility. Her offerings demonstrate an expansive way of life, through simple yet profound methods.

#flowerloungepodcast

***

CONNECT WITH LOTUSWEI:

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Data Retention & Disposal Policies. Data Retention certainly generates a lot of discussions and questions:
1. Where should I start?

2. What type of data/information is involved?

3. Which systems need to adhere to the policy?

4. What justifications are acceptable, and for how long?

5. How should I record data disposal?

6. Who is part of the RACI

Caroline Mouton did a great job answering many of the questions; specific questions usually lead to more questions. For example, de-identification and anonymisation.

I believe that the Data Retention Policy is one of the policies that should be a top priority. Templates are available; you don't need to start with a blank page.

Follow Howard Diesel on LinkedIn:
linkedin.com/in/howarddiesel-infogovernance

For more information on our services:
www.modelwaresystems.com
https://dama.org.za

2022-09-14

Autor bestseller Agilmente, En Cambio y En El Limbo.