

3 Steps to Prevent Scope Creep
3 Steps to prevent Scope Creep. The project continuously starts requiring additional time and work, and before you know it the entire team is entangled in a quagmire of development quite far away from the original goals and objectives. This is more likely to happen when the project objectives are not clearly defined or documented and/or there is a lack of communication between the parties. So what can be done from preventing “scope creep” to engulf the project? 3 Steps to Pre


What is Data Quality?
Data Quality involves standardization and enrichment of data and is essential to the reliability of the data analytics that drives effective business intelligence decisions. Data quality encompasses the accuracy, completeness, consistency across data sources and relevance of data. Data quality is affected by the way data is entered, stored and managed. Specific requirements must be defined for cleaning and standardizing the data. Data Quality involves standardization and enri

Master Data Management
Master Data Management (MDM) encompasses the processes, governance, tools and standards that are involved in centralizing any amount of non-transactional data into one system. This creates only one master copy of the data item which is then synchronized to all applications using the data. The mastered data can include reference data as well as analytical data. Master Data Management tools supports MDM by standardizing the data, removing duplicates and incorporating rules and


Implementing a Data warehouse solution
A data warehouse is a single repository of organization wide data (at least theoretically), composed of multiple data marts each being data from a single business unit or division. This means a process of data collection from different sources and using procedures, processes and jobs to bring it into one repository. Once all this data is staged in a temporary location, it is transformed (processed) into a certain data model (dimensional, snowflake etc.). The reasoning behind
The Importance of Structure in Project Management and Datawarehouse projects
Project Management for Data warehouse Projects – How to implement structure and strategies to optimize progress and minimize C.O.W. (Crisis of the Week/Day) Project Management using Agile methodology is an effective and adaptable approach for IT projects. There are also many challenges involved in making sure all involved parties have a clear understanding and are in agreement with the project scope and process. Pacific ERP uses a structured project management approach that a


How is Project Management different for data warehouse projects?
Here are a few factors: 1. Data warehouse (DW) is a different "animal" They have to be designed, developed and supported to grow. A data warehouse is never a really completed project - there are phases/releases/sprints that have start and end dates. A data warehouse does not reach an end state until it is terminated. 2. DW projects can involve internal and external organizations that may or may not work congruently with each other. Also companies may have existing infrastruc


Project Management for Big Data
Project Management in the world of “Big Data” is a delicate dance involving maximizing assets, anticipating and solving problems, controlling the liabilities. In these cases, an agile methodology is almost a necessity due to the constantly evolving nature of big data projects. The agile process typically consists of 15 minute “stand up” SCRUM meetings multiple times per week. The SCRUM meeting between team members and stakeholders, involves the system architecture, service i


Modern Datawarehousing implementation techniques and strategies
Traditionally, data warehousing and data analytics analyzed data that was transactional, structured and from similar sources and databases. Changes in demand, volume and type of data are the driving forces behind the need to create and implement technology that is able to handle new requirements. Some new data demands on companies these days: Larger amounts of data from various data sources that must be accurately stored, processed, analyzed and interpreted. An increase is th


The Basics of SCRUM
SCRUM is an agile methodology typically used to manage a software development project. It is a more flexible and holistic approach than traditional project management. It is an adaptable approach designed to prepare for the necessity of change and unpredictability that occurs in real world scenarios. Scrum utilizes an empirical approach— using the awareness that a problem cannot be fully comprehended or defined. Instead SCRUM focuses on optimizing the team's ability to provid


Return on Investment (ROI) - Online Marketing
Ways to calculate ROI for online marketing One of the many benefits of online marketing is that it enables more accurate calculation of return on investment (ROI). For example, if a company is using an ad that costs a specific amount of money every time it is clicked, the number of times the ad is clicked times the cost of the ad gives us the investment in that specific ad. The number of online purchases that resulted from users who clicked on the ad is the revenue created f