Muutke küpsiste eelistusi

E-raamat: Key Business Analytics: The 60+ Tools Every Manager Needs To Turn Data Into Insights

  • Formaat: EPUB+DRM
  • Ilmumisaeg: 10-Feb-2016
  • Kirjastus: FT Publishing International
  • Keel: eng
  • ISBN-13: 9781292017464
Teised raamatud teemal:
  • Formaat - EPUB+DRM
  • Hind: 29,63 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 10-Feb-2016
  • Kirjastus: FT Publishing International
  • Keel: eng
  • ISBN-13: 9781292017464
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimize their internal processes and identify cost savings and growth opportunities.

 

 

It includes analysis techniques within the following categories:

  • Financial analytics – cashflow, profitability, sales forecasts
  • Market analytics – market size, market trends, marketing channels
  • Customer analytics – customer lifetime values, social media, customer needs
  • Employee analytics – capacity, performance, leadership
  • Operational analytics – supply chains, competencies, environmental impact
  • Bare business analytics – sentiments, text, correlations

Each tool will follow the bestselling Key format of being 5-6 pages long, broken into short sharp advice on the essentials:

  • What is it?
  • When should I use it?
  • How do I use it?
  • Tips and pitfalls
  • Further reading

This essential toolkit also provides an invaluable section on how to gather original data yourself through surveys, interviews, focus groups, etc.

About the author x
Introduction xi
PART ONE Bare analytics
1(68)
1 Business experiments/experimental design/AB testing
3(5)
2 Visual analytics
8(4)
3 Correlation analysis
12(4)
4 Scenario analysis
16(5)
5 Forecasting/time series analysis
21(3)
6 Data mining
24(4)
7 Regression analysis
28(3)
8 Text analytics
31(4)
9 Sentiment analysis
35(3)
10 Image analytics
38(3)
11 Video analytics
41(4)
12 Voice analytics
45(4)
13 Monte Carlo simulation
49(4)
14 Linear programming
53(5)
15 Cohort analysis
58(3)
16 Factor analysis
61(3)
17 Neural network analysis
64(3)
18 Meta-analytics -- literature analysis
67(2)
PART TWO Analytics input tools or data collection methods
69(38)
19 Quantitative surveys
71(4)
20 Qualitative surveys
75(4)
21 Focus groups
79(4)
22 Interviews
83(4)
23 Ethnography
87(4)
24 Text capture
91(4)
25 Image capture
95(3)
26 Sensor data
98(4)
27 Machine data capture
102(5)
PART THREE Financial analytics
107(24)
28 Predictive sales analytics
109(4)
29 Customer profitability analytics
113(4)
30 Product profitability analytics
117(4)
31 Cash flow analytics
121(3)
32 Value driver analytics
124(3)
33 Shareholder value analytics
127(4)
PART FOUR Market analytics
131(30)
34 Unmet need analytics
133(3)
35 Market size analytics
136(3)
36 Demand forecasting
139(3)
37 Market trend analytics
142(3)
38 Non-customer analytics
145(3)
39 Competitor analytics
148(4)
40 Pricing analytics
152(3)
41 Marketing channel analytics
155(3)
42 Brand analytics
158(3)
PART FIVE Customer analytics
161(36)
43 Customer satisfaction analysis
163(5)
44 Customer lifetime value analytics
168(3)
45 Customer segmentation analytics
171(4)
46 Sales channel analytics
175(3)
47 Web analytics
178(4)
48 Social media analytics
182(4)
49 Customer engagement analytics
186(4)
50 Customer churn analytics
190(3)
51 Customer acquisition analytics
193(4)
PART SIX Employee analytics
197(26)
52 Capability analytics
199(3)
53 Capacity analytics
202(3)
54 Employee churn analytics
205(3)
55 Recruitment channel analytics
208(3)
56 Competency acquisition analytics
211(3)
57 Employee performance analytics
214(3)
58 Corporate culture analytics
217(3)
59 Leadership analytics
220(3)
PART SEVEN Operational analytics
223(28)
60 Fraud detection analytics
225(4)
61 Core competency analytics
229(3)
62 Supply chain analytics
232(4)
63 Lean Six Sigma analytics
236(4)
64 Capacity utilisation analytics
240(2)
65 Project and programme analytics
242(3)
66 Environmental impact analytics
245(3)
67 Corporate social responsibility (CSR) analytics
248(3)
Index 251
Bernard Marr is a leading global authority on organisational performance & business success. He regularly advises organisations & governments across the globe & is an acclaimed, award-winning keynote speaker, researcher, consultant & teacher. He's acknowledged by the CEO Journal as one of todays leading business brains.