Description

Book Synopsis
The Art and Science of Interpreting Market Research Evidence offers a complete account of the way todaya s researchers interpret evidence and apply it to decision making.

Trade Review
“This splendid book…a valuable guide…Defiantly for everyone who wants to make best use of mass information that surrounds us.”(Research Magazine, May 2004)

Table of Contents
Foreword.

Preface.

Acknowledgements.

1. 'New' market research.

2. Not a science, but a scientific approach.

3. Data-rich intuitive analysis.


4. Analysing the right problem.

5. Understanding the big information picture.

6. Compensating for imperfect data.

7. Developing the analysis strategy.

8. Organizing the qualitative data.

9. Organizing the quantitative data.

10. Establishing the interpretation boundary.

11. Applying the knowledge filters.

12. Reframing the data.

13. Integrating the evidence and presenting research as a narrative.

14. Facilitating informed decision-making.

15. Developing holistic data analysis.

16. Guide to the supporting training module.

Notes.

References.

Glossary of holistic analysis terms.

Index.

The Art and Science of Interpreting Market

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£34.19

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RRP £37.99 – you save £3.80 (10%)

Order before 4pm tomorrow for delivery by Mon 22 Dec 2025.

A Hardback by D. V. L. Smith, J. H. Fletcher

15 in stock


    View other formats and editions of The Art and Science of Interpreting Market by D. V. L. Smith

    Publisher: John Wiley & Sons Inc
    Publication Date: 09/03/2004
    ISBN13: 9780470844243, 978-0470844243
    ISBN10: 0470844248

    Description

    Book Synopsis
    The Art and Science of Interpreting Market Research Evidence offers a complete account of the way todaya s researchers interpret evidence and apply it to decision making.

    Trade Review
    “This splendid book…a valuable guide…Defiantly for everyone who wants to make best use of mass information that surrounds us.”(Research Magazine, May 2004)

    Table of Contents
    Foreword.

    Preface.

    Acknowledgements.

    1. 'New' market research.

    2. Not a science, but a scientific approach.

    3. Data-rich intuitive analysis.


    4. Analysing the right problem.

    5. Understanding the big information picture.

    6. Compensating for imperfect data.

    7. Developing the analysis strategy.

    8. Organizing the qualitative data.

    9. Organizing the quantitative data.

    10. Establishing the interpretation boundary.

    11. Applying the knowledge filters.

    12. Reframing the data.

    13. Integrating the evidence and presenting research as a narrative.

    14. Facilitating informed decision-making.

    15. Developing holistic data analysis.

    16. Guide to the supporting training module.

    Notes.

    References.

    Glossary of holistic analysis terms.

    Index.

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