Weekly Big Data News

  • Juggling Multi-Channels

    In today’s multi-channel market place, it’s mandatory that businesses determine how and where customers buy different products or services, then shift accordingly. To remain agile, businesses need to utilize insight to manage and adjust their strategy as customers channel hop.Companies with an intimate knowledge of customer behavior and preferences by channel win as they can employ insight to interact real-time with the right channel, the right offerings and the right message. Derek Martin, Director of Sales, Financial Services at Velti, joined #cxo Twitter chat as we discussed juggling multichannels.

  • Using Predictive Analytics to Improve Decision Making and Business Outcomes: Part 2

    Predictive analytics, coupled with big data technologies, can help organizations in automotive, chemical and petroleum, telecommunications, and travel and transportation to improve business outcomes.

  • Recap of IBM Twitterchat: Enterprise Challenges of Incorporating Hadoop

    Hadoop is fundamental to the future of big data. Users are adopting Hadoop for strategic roles in their current data warehousing architectures, such as extract/transform/load (ETL), data staging and preprocessing of unstructured content. Hadoop is also a key technology in next-generation massively parallel data warehouses in the cloud, which will complement today’s data warehousing technologies and complement low-latency stream-computing platforms.

  • To get Big Data buy-in, IT should let go of proof of concept
    If your company is currently experimenting with Big Data in an attempt to prove some sort of concept–interrupt this right away. If you’re going to prove something–it better be value.

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