Big Data & Analytics

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Turn data and analytics into a competitive advantage

The amount of data in the world is growing every second, and taking on more forms—structured and unstructured, in motion and at rest. Big data holds valuable insights that can transform a business.

But without analytics, big data is just noise. Running analytics on this wide range of data gives a more vivid picture of your business and the forces that affect it.

Get started: Marketing & sales | Operations | Finance | Risk | New business models | IT


Three things you must get right...

To transform your business using big data and analytics, you must:


Build a culture
Build a culture that infuses analytics everywhere. Empower employees to make data-based decisions.


Be proactive
Be proactive about privacy, security and governance. Ensure that data is safe, secure and accurate.


Invest
Invest in a big data and analytics platform that is tuned to the task of handling all types of data.


 

Acquire, grow and retain customers

80% of CEOs believe they deliver a superior customer experience but only 8% of their customers agree

Who are your best customers and how can you keep them satisfied?

Where can you find more customers like them?

Big data holds the insights into who your customers are and what motivates them. Analyzing big data can help you discover ways to improve customer interactions, add value and build relationships that last.


Improve interactions, build lasting relationships and realize value from customer sentiment.

Personalization
Personalization
Ensure each customer interaction is unique and tailored to the buying journey.

Profitability
Profitability
Improve a customer’s lifetime value through advanced association methods.

Retention
Retention
Improve retention and customer satisfaction by detecting anomalies in desired behavior.

Acquisition
Acquisition
Improve accuracy and response to marketing campaigns, reduce acquisition costs and predict lifetime value.






Optimize operations and reduce fraud

Machine-generated data will increase to 42% of all data by 2020 up from 11% in 2005

Reduce costs, increase efficiencies and productivity, and limit threats

Global operations
Global operations
Increase operating margins with improved process efficiency by basing real-time decisions on an optimized blend of predictive models, new data sources and business rules.

Infrastructure and asset efficiency
Infrastructure and asset efficiency
Reduce costs, improve service levels and prevent failures, using machine data with predictive root-cause analysis to optimize operations and identify repair actions.

Fraud
Fraud
Identify and investigate anomalous actions, based on advanced pattern and trend analysis through data and text mining, to pinpoint and mitigate fraudulent activity faster or in real time.

Public safety and security
Public safety and security
Detect and prevent unwanted threats in real time at borders, facilities and within infrastructure, using new surveillance-gathering techniques and new data sources.






Transform financial processes

88% of CFOs say their companies are counting on Finance's advice in selecting key performance indicators

Drive enterprise agility and make better decisions

Financial performance
Financial performance
Dynamically align resources with profit and growth opportunities to maximize performance achievement.

Forecasting and planning
Forecasting and planning
Create plans and forecasts based on both historical trends and insights into what is most likely to occur in the future.

Operational performance
Operational performance
Make more effective decisions that drive revenue growth, improve operational efficiency and increase return on investment.






Manage risk

Strategic risks cause 68% of severe market capitalization declines

Guard against poor decision making by balancing risk and opportunity

Financial risk
Financial risk
Understand the potential impact of financial risks, enabling more risk-aware strategic decision making.

Operational risk and compliance
Operational risk and compliance
Employ an integrated and comprehensive approach to managing operational risk and meeting regulatory requirements.

Enterprise Risk Management
Enterprise risk management
Manage business risks to strike the right balance between risk taking and commercial gain.






Create new business models

Outperformers are bolder innovators and they are more likely than underperformers to innovata with partners

Use new perspectives to explore strategic options for business growth

Data-driven
products and
services
Data-driven products and services
Harness customer, sensor and cell phone location data.

Non-traditional
partnerships
Non-traditional partnerships
Forge lucrative alliances with nontraditional partners.

Mass
experimentation
Mass experimentation
Change the practice and behavior of innovation.






Improve IT economics

It is estimated that by 2020,there could be four times more digital data than all the grains of sand on Earth

Lead the creation of new value and agility for the business

Harnessing and
analyzing data
Harnessing and analyzing data
Assemble, explore and discover existing data for new or enhanced insight.

Governing all
data
Governing all data
Consolidate and govern the exploding volumes of structured and unstructured data

Optimizing
analyitcal
workloads
Optimizing analytical workloads
Enable "speed of thought" analytics through greater system performance

Delivering a
broad spectrum
of analytics
Delivering a broad spectrum of analytics
Predict and shape better outcomes with descriptive, diagnostic, predictive, prescriptive and cognitive analytics