000 02330nam a2200229Ia 4500
003 NULRC
005 20250520103007.0
008 250520s9999 xx 000 0 und d
020 _a9781911498360
040 _cNULRC
050 _aHD 30.28 .E44 2017
100 _aElgersma, Erik.
_eauthor
245 4 _aThe Strategic analysis cycle handbook :
_bhow advanced data collection and analysis underpins winning strategies /
_cErik Elgersma
260 _aLondon, United Kingdom :
_bLID,
_cc2017
300 _a656 pages :
_billustrations ;
_c24 cm.
365 _bUSD25
504 _aIncludes bibliographical references.
505 _aChapter 1. Introduction -- 2. Briefing and project brief -- 3. Attributes of sources and the collection plan -- 4. People: Collection from friendly or neutral sources -- 5. People: collection from unsuspecting sources -- 6. Papers: Collection from Public domain sources -- 7. Pictures: Collection of data from images -- 8. Products of data from things -- 9. Analysis -- 10. Input data quality assurance -- 11. Data-set preparation -- 12. Common issues in data set processing -- 13. Hypothesis formulation and testing -- 14. Analytical pitfalls -- 15. Reporting -- 16. Analyst decision-maker interaction -- 17. Social biases in decision-making -- 18. Ethics and compliance in data collection -- 19. Data management and retrieval -- 20. Organizing a strategic analysis function -- 21. Profile of a strategy analyst.
520 _aThis is an authoritative and practical guide to collecting, analyzing and managing data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor in today’s business environment. This book, written by a leading practitioner, explains the underpinning nature of data for a company’s business strategy. The book begins with data collection: getting data is no big deal; getting the right data to win in the market is. It moves on to data analysis: turning data into actionable intelligence is what drives and determines competitive advantage. And, finally, managing data: how to organize your data collection and analysis to create winning strategies. This is a definitive book about one of the most important topics in today’s digital and data-driven economy.
650 _aBUSINESS CYCLES
942 _2lcc
_cREF
999 _c20808
_d20808