So far I’ve provided an overview on 6 different data governance maturity models which I will post links below in case you’d like to learn more about them. Maturity models can provide a road map to follow in order to advance from one maturity stage/ level to another. Today I’ll provide an introduction into the […]

Data is an integral part of modern businesses. Organisational structure plays a critical role in enabling the organisation's success and building a data-driven culture. Data drives the outcomes and has more independence to suggest and drive long term initiatives.

In this blog, I will talk about the necessary methods and definitions for the use of dynamic tables in a program, dynamic select and how to ...

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Download Data Structure and Algorithm free in PDF file. Data structure could be a data organization, management, and storage format that allows economical access and modification. In this practical guide you’ll learn about its basic concepts and algorithms. This practical guide gives solutions to many complicated data structures and algorithmic problems. This is very interesting …

The definition of a company’s assets has changed over the years. It has moved from physical buildings to virtual assets like intellectual property. But, few companies realize how important their data is. Increased sharing of company data necessitates companies to develop solid framework of regulations to regulate how data is handled, managed, and processed. This requires the input of all peoples who are exposed to the data. Data governance extends to physical storage of the data to policies on how data is moved and processed to serve the end users. What is Data Governance? Data governance involves setting up procedures and regulations to enable the smooth sharing, managing, and availability of data. The idea is to prevent an overlap of resources. When you have data governance procedures you experience faster decision making processes while moving data from just a company’s by-product to a critical asset within the organization. Most of the time a company mentions the term data governance it is mostly used to refer to data storage. But, governance involves more than this. It will extend to how you acquire this data, use it and distribute it to the various company departments. Governance will encompass data security, retrieval, synchronization, and ensuring the accuracy of the data. What is Data Governance Strategy? A data governance strategy defines how data is named, stored, processed, and shared. Instead of data being a byproduct of your applications, it becomes a vital company asset. The strategy defines how data will be used efficiently in an organization. In this regards, the company will set up processes and structures to clean, store and share this data. This process eliminates duplication of resources while enabling access to vital data by those who need it in an organization. When you have an effective data governance strategy you can tell where data originates from, where it is stored, and who can access it. Data strategy precedes regulatory compliance. Actually, it boosts compliance. What are the components of a Data Governance Strategy? When you have a data governance strategy, you are able to manage and share data across various teams in the organization. The biggest problem with data governance strategy has been defining it too thin. Conventionally, most organization will ensure that the servers holding their data is well secured. A lot of investments will go into the purchase of servers and developing strong rooms. But, data governance goes beyond this to having a framework on how you access the data to how you share it among the various organizational structures. What are the components of a Data Governance Strategy Five vital components ensure you have an efficient data strategy. 1. Identify Before you can implement any data strategy you have to first seek to understand the data you have. You also have to identify the origin of the data. Data can either be structured or unstructured. Once you have identified the data, you can then proceed to cleaning, manipulation [...]

Organizational structure types used across various organizations in many industries. These include the most common org chart types plus the various org chart models derived from the main ones. All organizational chart types include editable templates which you can edit and create your own org chart.

Supply chain planning in excel can cause businesses to miss out on valuable insights for faster decision-making.

Why balancing managing a team, demanding stakeholders and still being hands-on is no easy task

Stephen Wolfram shares interesting Facebook data analysis finds from the Data Donor program of Wolfram|Alpha Personal Analytics for Facebook.

In the ever-evolving world of data management, one term that has gained immense prominence in recent years is JSON databases . JSON, which s...

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Editor’s note: This is a continuing serialisation of edited portions of Andre Saito’s PhD. In this article a model of individual KM competence for kno

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What is the difference between relational and non relational databases? This article defines both database types and explains when you might use one or the

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Tutorial about SAP MM Material Master. You will learn about material master records in SAP MM, their functions, and how to create a new material in SAP.