data forecasting

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Enterprise analytics leveraging AI: Analytics trends in 2019

With businesses transforming into data-driven enterprises, there is a need for investments in data technologies and analytics strategies to start delivering value. It’s interesting to note that by 2019, 40% of digital transformation initiatives will be supported by cognitive/AI capabilities, providing timely critical insights for new operating and monetization models (Source: IDC FutureScape: Worldwide Digital …

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Using location analytics for optimal site selection

Identifying the right location to set up a store forms a key part of any retailer’s core strategy. Selecting the right location is not only crucial for profitability, but can also determine whether the business can successfully thrive. Analyzing transactions, facilities, and asset data along with geographic data can reveal valuable insights that can help …

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Insurance risk assessment using Predictive Analytics

Risk management processes form an integral part of the insurance industry. Insurers consider every available quantifiable factor to develop profiles of high and low insurance risk for their prospective policyholders. Level of risk determines the insurance premiums of these policies. To this end, insurers collect a vast amount of information about policyholders and insured objects. …

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How to prevent disintermediation at the marketplace

The multi-billion dollar services industry in the United States is undergoing a massive shift in how business is performed. A primary instrument of change in the industry are service marketplaces. Service marketplace platforms connect individuals who can provide a service with individuals who need that particular service. Many of these businesses have become household names …

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The impact of improved forecasting for Inventory Optimization

Not too long ago, Supply Chain consisted mainly of a set of formulaic methods and processes. Back in those simpler days, labels were transparent: manufacturer, distributor, wholesaler, and retailer. Not anymore. Today, if an organization has to succeed amidst intense competition, they have to quickly respond to dynamic customer requirements. The only way to achieve …

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Improving the efficiency of your predictive models

Improving the efficiency of your predictive models

While developing or building a Predictive Model, factors such as combining an ensemble of models and techniques, cleaning out data, segmentation and definition of a clear problem statement help increase efficiencies by about 10 – 15%. The below infographic depicts the five steps that will help improve the efficiency of your Predictive Model: 1. The …

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