COURSE OVERVIEW
WE OFFER
- Instructor-led Classroom-based & Live Virtual Online Training
- Hands-on Training
- Free Study Material
- Lab Exercises
- Unlimited Lab Access
- 100 % Passing Guarantee or Free Re-training
COURSE INFORMATION
- Fast Track
Days: Monday-Friday
Duration: 5 days - Slow Track
Days: Saturdays / Sundays / Evenings
Duration: 5 Weeks
Study Modes:
- Classroom / On-site
- Live Virtual
WHO IS THIS COURSE MEANT FOR?
- This course is meant for anyone looking to be an Application Consultant.
- If you are looking to be a Business Analyst, you can take up this course.
- Anyone willing to become a Data Consultant or a Data Manager can help themselves with studying this course.
PREREQUISITE
You are required to know DS10 – Data Services – Platform and Transforms.
RECOMMENDED
- None
The supply of this course is governed by the booking terms and conditions.
Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
JOBS YOU CAN GET WITH DS30 DATA SERVICES DATA QUALITY MANAGEMENT
- Data Quality Analyst
- Data Integration Specialist
- Data Governance Manager
- Data Quality Consultant
- ETL Developer
- Data Analyst
Data Services Data Quality Management
For More information call us on
0208 123 7574
COURSE INSIGHT
DS30 Data Services Data Quality Management is a 3-day instructor-led course under the SAP Crystals Reports 2013. It uses the SAP Business Objects Business Intelligence Suite 4.1 software release. It was designed to mainly give you a comprehensive understanding and in-depth knowledge and skills on how to create the most advanced reports. These reports are used to help you interpret and analyse data. If you are a business analyst then you shall benefit by gaining the capability to increase your understanding of variables, formulas, templates, arrays, summaries, parameters, and sections. By gaining this knowledge you will be able to make more effective report design decisions hence coming up with efficient reports. You will be provided with free study material, some lab exercises, unlimited lab access, and hands-on training. This course is taught Virtually and under an instructor-led classroom-based. You can however be offered a free retraining session but the passing guarantee for this course is 100% assured.
This course is based on software release:
SAP Business Objects Business Intelligence Suite 4.1
COURSE OUTLINE
- Overview: Data Services Data Quality Management
- Define Data Quality Management
- Data Quality Transforms
- Defining Data Quality Processes
- Use Address Cleanse Transforms
- Preparing Data for Address Cleanse
- Using Address Cleanse Transforms
- Data Cleanse Transforms
- Parsing for Data Cleanse
- Using Data Cleanse Transforms
- Match and Consolidate Data
- Determining the Need for Record Deduplication
- Using the Match Wizard
- Configuring the Match Transform
- Performing Post-Match Processing
- Consolidating Matching Records
- Using Advanced Match Strategies
- Text Data Processing
- Using Text Data Processing
The Benefits of Studying DS30 Data Services Data Quality Management
- You will learn techniques to process address data effectively, ensuring accuracy and consistency by using the Address Cleanse Transforms used for parsing, standardizing, cleansing, and enhancing address records.
- You will gain proficiency in handling data, implementing techniques to improve data quality and reliability by applying Data Cleanse Transforms to parse, standardize, cleanse, and enhance the data records.
- You will learn how to identify and merge duplicate or similar records, enabling data consolidation and accurate analysis.
- You will gain expertise in extracting meaningful information from unstructured data sources, allowing for valuable insights and informative reporting.
Dates And Prices
| Start Date | Timing | Days | Duration | Mode Of Training | Request Price/Future Dates |
|---|---|---|---|---|---|
| 01.07.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 08.07.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 10.07.2024 | 10:00 – 18:00 | Wed only | 5 Weeks | Classroom Based / Live Virtual Online | |
| 15.07.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 22.07.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 24.07.2024 | 10:00 – 18:00 | Wed only | 5 Weeks | Classroom Based / Live Virtual Online | |
| 29.07.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 05.08.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 07.08.2024 | 10:00 – 18:00 | Wed only | 5 Weeks | Classroom Based / Live Virtual Online | |
| 12.08.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 19.08.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 21.08.2024 | 10:00 – 18:00 | Wed only | 5 Weeks | Classroom Based / Live Virtual Online | |
| 26.08.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 02.09.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 04.09.2024 | 10:00 – 18:00 | Wed only | 5 Weeks | Classroom Based / Live Virtual Online | |
| 09.09.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 16.09.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 18.09.2024 | 10:00 – 18:00 | Wed only | 5 Weeks | Classroom Based / Live Virtual Online | |
| 23.09.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online | |
| 30.09.2024 | 10:00 – 18:00 | Mon - Fri | 5 Days | Classroom Based / Live Virtual Online |
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