Key Business Analytics

Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimise 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 The full text downloaded to your computer

With eBooks you can:

• search for key concepts, words and phrases
• make highlights and notes as you study
• share your notes with friends
  eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.

Upon purchase, you'll gain instant access to this eBook.

Time limit

The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Auteur

Bernard Marr is a leading global authority and best-selling author on organisational performance and business success.He regularly advises leading companies, organisations and governments across the globe, making him an acclaimed and award-winning keynote speaker, researcher, consultant and teacher. He is acknowledged by the CEO Journal as one of today's leading business brains.

Contenu

• 1: Business Experiments / Experimental Design / AB testing
• 2: Visual Analytics
• 3: Correlation Analysis
• 4: Scenario Analysis
• 5: Forecasting / Time Series Analysis
• 6: Data mining
• 7: Regression Analysis
• 8: Text Analytics
• 9: Sentiment analysis
• 10: Image Analytics
• 11: Video Analytics
• 12: Voice Analytics
• 13: Monte Carlo Simulation
• 14: Linear Programming
• 15: Cohort Analysis
• 16: Factor analysis
• 17: Neural Network Analysis
• 18: Meta Analytics - Literature Analysis
• 19: Quantitative Surveys
• 20: Qualitative Surveys
• 21: Focus Groups
• 22: Interviews
• 23: Ethnography
• 24: Text Capture
• 25: Image Capture
• 26: Sensor Data
• 27: Machine data capture
• 28: Predictive sales analytics
• 29: Customer Profitability analytics
• 30: Product Profitability analytics
• 31: Cashflow analytics
• 32: Value Driver Analytics
• 33: Shareholder value analytics
• 34: Risk Reward Analytics
• 35: Unmet need analytics
• 36: Market Size Analytics
• 37: Demand Forecasting
• 38: Market Trend Analytics
• 39: Non-customer analytics
• 40: Competitor analytics
• 41: Pricing analytics
• 42: Marketing channel analytics
• 43: Brand Analytics
• 44: Customer satisfaction analysis
• 45: Customer Lifetime Value Analytics
• 46: Customer segmentation analytics
• 47: Sales Channel Analytics
• 48: Web Analytics
• 49: Social Media Analytics
• 50: Customer Engagement Analytics
• 51: Customer Churn Analytics
• 52: Customer acquisition analytics
• 53: Capability Analytics
• 54: Capacity Analytics
• 55: Employee Churn Analytics
• 56: Recruitment channel analytics
• 57: Competency acquisition analytics
• 58: Employee Performance Analytics
• 59: Corporate culture analytics
• 60: Leadership Analytics
• 61: Fraud Detection Analytics
• 62. Core Competency Analytics
• 63: Supply Chain Analytics
• 64: Lean Six Sigma Analytics
• 65. Capacity Utilisation Analytics
• 66: Project and Program Analytics
• 67. Environmental Impact Analytics
• 68: Corporate Social Responsibility (CSR) Analytics