Thursday, 20 April 2017
Wednesday, 5 April 2017
Is Good Data Quality Part of Your Big Data Strategy?
Investments in big data are increasing, and Gartner predicts
75% of businesses will invest in big data by 2017. Big data analytics is one of
the top priorities for almost every enterprise today. According to a new study
by Experian, 97% of US businesses are looking to achieve a complete view of
their customer data. This will help them drive customer loyalty, increase sales
and improve strategic decision making. From manufacturing, public services and
healthcare, to supply chain, finance and sales and marketing – analyzing large
data and getting important insights is becoming standard practice.
Wednesday, 8 March 2017
Thursday, 2 March 2017
Wednesday, 8 February 2017
Marketing Big Data: Why Continuous Data Cleansing is Important
The data used for marketing a generation ago, including information like point-of-sale transaction data, responses to direct mail campaigns, and coupon redemption numbers, was incredibly limited compared to the data available today. With big data, marketing has experienced tremendous innovation. But simply having and processing big data doesn’t automatically lead to better marketing.
Friday, 3 February 2017
Tuesday, 24 January 2017
4 Best Practices for Data Hygiene
Dirty data might cost you more than you realize. Typos, outdated or incomplete information, spam traps and other threats mean your messages don’t reach their intended recipients. This will cost you in immediate campaign ROI as well as lifetime customer value. In the worst case scenario, dirty data will land you on a blacklist, resulting in pricey remediation and the inability to communicate with customers, prospects, and possibly your internal team. Routinely cleaning your database can avoid many of these headaches altogether.
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