Remove Cost-Benefit Remove Data-driven Remove Forecasting Remove Recreation/Entertainment
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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

Insurance 250
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Consumer Technology & Durables (CTD) in the COVID-19 Era

bridgei2i

Demand for luxury and lifestyle goods like cars, smart homes, in-home entertainment, automated household appliances, personal devices, and gadgets has increased manifold. CTD’s growth over the last two decades was aided by technological innovation and the steady drop of electronics components’ costs, driven by economies of scale.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Leveraging data where it lies.

Analytics 111
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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 9: The Impact of COVID-19 on Consumer Technology & Durables

bridgei2i

They’re not willing to spend on luxury items like mobiles, entertainment units, etc. Recent data indicates that daily e-commerce sales are up by 25 percent in the US and by 33 percent in the UK. The pre-COVID-19 forecasts are no longer kind of valid as the pandemic has entirely disrupted the market. Melita: Right.

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IBM to help businesses scale AI workloads, for all data, anywhere

IBM Big Data Hub

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics.

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Make Sure You Know The Difference Between Strategic, Analytical, Operational And Tactical Dashboards

datapine

Exclusive Bonus Content: Download Data Implementation Tips! It helps managers and employees to keep track of the company’s KPIs and utilizes business intelligence to help companies make data-driven decisions. Organizations can also further utilize the data to define metrics and set goals.

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Accelerate data science feature engineering on transactional data lakes using Amazon Athena with Apache Iceberg

AWS Big Data

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) and data sources residing in AWS, on-premises, or other cloud systems using SQL or Python. Solution overview Data scientists are generally accustomed to working with large datasets.