Organizations looking to transform their operations can turn to data science for an approach that offers the ability to predict events and behavior, prescribe actions, derive insights and make informed decisions. Learn more about how you can tap into the power of data science through predictive
Do you find yourself increasingly having to make decisions amid uncertain conditions? The advanced capabilities offered by IBM SPSS Statistics aim to make Monte Carlo simulation a part of your risk analysis by bringing these two worlds together in a single software solution.
In today’s digital landscape, technology offers compelling motivation to capitalize on data-driven evolution opportunities for adding value on both the advertiser and consumer sides of the targeted digital marketing equation. Discover why understanding consumers and what they really want is
For consumer product companies to leverage sales and increase overall growth, professional development is a top priority for the VP of sales. These data-driven practices can help identify the right areas of focus and ROI opportunities.
An important ingredient for any successful business is its staff. And yet recent research shows that human resources ranks lowest among front office operations when it comes to using predictive analytics, particularly to recruit and retain the right professionals for the right positions. But that
Smart predictions can spell the difference between whether your company succeeds wildly or falls by the wayside. Get the details on four strategic pillars for smart, proactive business through predictive analytics deployment in a series of new blog perspectives.
The craft of data science demands expert judgment every step of the way. See how data scientists can adopt a standard data science methodology that can harmonize steps among diversified teams for applying core concepts of data science, analytics and data management in the data science lifecycle.
Attend IBM Insight 2015 to follow the latest trends in insurance analytics, including telematics, weather events and predictive customer insights. Check out this list of insurance-related sessions to begin planning your Insight schedule now.
Advanced predictive analytics requires data preparation strategies that can transform the data, enriching it to make it suitable for processing. Indeed, your choice of data preparation strategy can help you boost the accuracy of the outcomes you achieve.
Weather is both asset and liability to energy providers. Even in a world of renewable energy, adverse weather events can create power outages on a citywide scale. Using weather data analysis, energy providers can forecast outages with high levels of reliability, then prevent or mitigate them ahead
Inaccurate perceptions of predictive analytics are common in the business world. In reality, predictive analytics is straightforward to understand, can leverage existing skillsets in business and IT organizations, and can deliver value in most industries and lines of business. Getting started with
The consumer packaged goods (CPG) industry is changing in a big way. Developed and emerging markets are more fragmented than ever as consumers are relying on multiple channels to research and purchase products. As a result, the consumer product analytics field is growing in importance. Leveraging