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Nine Predictions for the Analytics Industry in 2011

  • Nine Predictions for the Analytics Industry in 2011-

    Consolidation of analytics software players will continue; entry of specialized analytics software and service providers will accelerate.

    The few remaining independent analytical software firms, such as SAS and KXEN, will see increasing interest from large IT firms who don’t have a significant analytical capability, e.g., HP and Oracle. Smaller software vendors will focus primarily on specific analytical “apps” for specific decisions and industries. Services firms that don’t have strong analytical capabilities will attempt to develop them, although the number of good people is waning.

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Nine Predictions for the Analytics Industry in 2011

  • 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11
  • Nine Predictions for the Analytics Industry in 2011-9

    Consolidation of analytics software players will continue; entry of specialized analytics software and service providers will accelerate.

    The few remaining independent analytical software firms, such as SAS and KXEN, will see increasing interest from large IT firms who don’t have a significant analytical capability, e.g., HP and Oracle. Smaller software vendors will focus primarily on specific analytical “apps” for specific decisions and industries. Services firms that don’t have strong analytical capabilities will attempt to develop them, although the number of good people is waning.

The International Institute for Analytics (IIA) expects 2011 to mark the beginning of a multi-year cycle where the sparks of economic growth ignite a tinderbox of technology and business forces that are set to drive mainstream adoption of business analytics across commercial and government sectors. Without question, the competitive gap between analytical innovators and those who do not invest in analytics will widen over the coming 12 months.

Processing power, storage capacity, cloud computing (storage & processing), and analytics software have all now matured to a point where it is now cost-effective and relatively simple for enterprises to adopt analytics to enhance competitive advantage.

The growing community of analytics professionals, both business and technical will continue to generate and further adopt innovative analytical techniques in the areas of text analytics, survival mining, time series mining, net-lift modeling, and data visualization.

Limiting the growth of analytics will be the scarcity of strong business-focused analytical talent, as well as the continued cry of privacy actors and regulators.

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