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IDM Award in Data and Analysis (Award DM)


The IDM

Summary

Price
£594 inc VAT
Payment options

Invoice and Credit Cards

Between jobs discount - 25%

Charity discount - 15%

Study method
Online, self-paced
Duration
12 Months
Certification
Level 4 Award
35 CPD points / hours
Professional What's this?
Additional info
  • Exam(s) / assessment(s) is included in price

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Overview

Get qualified as a data marketing expert and gain the skills and confidence to define your organisation’s data strategy with our Award in Data

During your Qualification in Data, you will learn to:

  • Identify the drivers of value, risk and cost of data used by the marketing department
  • Plan your organisational strategy for data collection, permissioning and management
  • Understand how data drives marketing and the impact of data quality
  • Create an effective data management strategy
  • Construct a data strategy that adheres to current and forthcoming legislation and regulation
  • Build a secure data management culture that enables marketing innovation

Certification

Level 4 Award
35 CPD points / hours

Description

This qualification is made up of 8 modules. You will also be required to complete one online assessment.

Module 1: Defining data

Learning objective: To understand the basics of marketing data and its role and importance within your business

  • Understand what data is and where it comes from
  • Assess the role and importance of data within a business
  • Identify some key techniques for adding value to data
  • Understand how to classify data according to reliability, stability and content
  • Gain awareness of key data types and sources

Module 2: Data quality

Learning objective: To understand the key concepts of data quality

  • Understand why data quality is important in sustaining your business
  • Assess what good data quality loos like
  • Identify the origins of poor quality data
  • Evaluate the impact that poor data quality can have over your business
  • Understand how to move towards a single customer view

Module 3: Data management

Learning objective: To understand how manage data and data quality issues

  • Appreciate the reasons for managing data quality
  • Understand good and bad data management practices
  • Identify the key components of data quality improvement
  • Appreciate the value to the business of data quality improvement
  • Understand practical techniques for cleansing your data
  • Assess the maturity of your organisation in respect of data quality management

Module 4: Database structures

Learning objective: To understand the role of the database and how to plan/build one.

  • Identify the role of a database.
  • Appreciate the different types of database structures.
  • Understand how to plan and build a database.

Module 5: Data – preparation and mining

Learning objective: To help you understand the role of technology in managing data

  • Understand the importance of data preparation.
  • Recognise the different types of data (internal and external) that support analytical processes, including data profiling.
  • Identify the role of data mining and how it can be used to generate insight

Module 6: Data – segmentation and predictive modelling

Learning objective: To help you understand segmentation and predictive modelling

  • Appreciate the role of segmentation and predictive modelling when trying to glean insights from your data.
  • Understand the range of statistical techniques you can use to understand your data better

Module 7: Data security

Learning objective: To assess the importance of data security for your business

  • Understand the three core principles of data and information security; confidentiality, integrity, and availability
  • Assess what good data security looks like in practice
  • Manage and measure the risks related to data security
  • Understand how to handle a data security breach
  • Evaluate the cost and damage to your business of getting data security wrong

Module 8: Data governance

Learning objective: To understand why good data governance is essential and how to accurately assess your own organisation’s current data capability on the Data Governance Maturity Model

  • Understand what data governance is and why it’s important to your organisation
  • Review the impact of inadequate data governance
  • Understand your organisation’s current data capability
  • Plot your position on the Data Governance Maturity Model and monitor your progress
  • Organise for successful data governance and data management
  • Develop and implement a successful data governance strategy
  • Appreciate the legal and regulatory regime which governs personal data

Exams and assessments

In order to attain the Award in Data Management and use the honorifics you must successfully pass 1 online exam.

Who is this course for?

Develop a thorough grounding in Data & Analysis, with enough information to build an effective data strategy.

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