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A Smarter Planet

Smarter computing

The IT infrastructure that enables a Smarter Planet

12 success stories

Bringing smarter computing to analytics (PDF, 11.5MB)

Analytics | eBook

BI Research (US)

BI Research: Using Big Data for Smarter Decision Making Premium content — register

Analytics | Analyst paper

What is analytics? (US)

Bringing analytics to the enterprise

Analytics | Web site

Think you know big data? (US)

Test your Storage IQ by answering these questions. Take the Big Data Challenge.

Analytics | Web site

Smarter computing: Designed for data

Analytics brings data out of the back office into the front office, giving you direct access to the information you need to make strategic business decisions. It helps you make sense of massive volumes of big data, revealing important patterns and trends.

Recent studies from the IBM Institute for Business Value and the MIT Sloan Management Review show that companies with sophisticated analytics are 260% more likely to be top performers. And top performers are 84% more likely to have business analytics integrated into their core business strategy and day-to-day operations.1

Yet the sheer size and growth of traditional and digital data—up 50% from 2011, and on its way to 8 Zettabytes by 2015, according to IDC—requires new thinking and fresh approaches. The era of Smarter Computing requires an IT infrastructure that is designed for data and capable of delivering insights in seconds, through systems built to process a variety of data at scale.

Explore our patterns of adoption to learn more.

Patterns of adoption

Align

Align your business around information


With all the data sources and applications in a business, it is easy to get multiple versions of the same information (such as customer profiles) with conflicting data and mismatched formats. That’s why creating a single source of trusted, governed information is a critical success factor for adopting analytics. Analytics maturity requires the ability to:

  • Manage and store large, complex data sets more cost effectively
  • Integrate and govern data throughout its lifecycle
  • Deliver a single, trusted source of information

Case study

HealthNow New York Inc. (US)

$5 Million annual savings

Anticipate

Predict and drive business outcomes


Analytics leaders anticipate behavior by seeing, predicting, and shaping business outcomes. With predictive analytics, you can find patterns of behavior hidden in the data you already have, and use that knowledge to influence top-line business results. These specialised capabilities allow you to:

  • Measure and monitor business performance
  • Model business trends and simulate scenarios
  • Predict potential threats and opportunities

Case study

SunWorld (US)

50% increase in yield

Act

Take action with confidence in real-time


Business leaders are infusing the value of analytics across business processes in real time. By embedding analytics into organisational processes, you can optimise day-to-day operations and guide future strategies. You’ll to unlock the insight required to transform interactions with customers, suppliers and business partners as you learn to:

  • Embed analytics within core business processes
  • Leverage real-time decision making
  • Employ systems that reason and learn

Case study

Marriott (48.3KB)

18% growth in customer bookings traffic

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Meet the expert

Anjul Bhambhri

Vice President, Big Data Development

About Anjul

Anjul Bhambhri has 23 years of experience in the database industry with engineering and management positions at IBM, Informix and Sybase. She is currently IBM’s Vice President of Big Data Products, overseeing product strategy and business partnerships. Previously at IBM, Anjul focused on application and data lifecycle management tools and spearheaded the development of XML capabilities in DB2 database server. In 2009, she received the YWCA of Silicon Valley’s “Tribute to Women in Technology” Award.

Smarter computing events

Breakthrough IT economics

Explore the extraordinary economics of smarter computing. This paper uses case studies to illustrate the advantages of optimised systems, solutions built for data, and cloud delivery.

Resources for analytics