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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

The company has been on a continuous journey to adapt its internal and external processes to new business needs and opportunities since 2001.” Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis.

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How Digital Native & Cloud Native Will Influence FP&A

Jedox

First used in 2001, digital native has most commonly been used to describe individuals who grew up using computers. Microservices are generally smaller elements of functionality that interact with other functionalities within a larger system via well-defined set of application programming interfaces (API).

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IT leaders turn to HBCUs for future IT talent

CIO Business Intelligence

Yet, despite strong opportunities in the profession, reports consistently confirm that Black professionals remain underrepresented. White, a 2001 Morgan State University graduate with a bachelor’s in computer science, speaks from experience: He had two pivotal internships that propelled his professional career.

IT 137
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Email Marketers Use Data Analytics for Optimal Customer Segmentation

Smart Data Collective

Behavioral Information includes understanding the audience’s interest and interaction with your email. The ability to collect and utilize data for list segmentation enables businesses to send customized emails while concentrating on improving deliverability rates and reporting on email marketing engagement.

Marketing 122
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Reclaiming the stories that algorithms tell

O'Reilly on Data

These scores go on student report cards, and are a frequent topic at parent-teacher conferences. In 2001, just as the Lexile system was rolling out state-wide, a professor of education named Stephen Krashen took to the pages of the California School Library Journal to raise an alarm.

Risk 355
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Data Science, Past & Future

Domino Data Lab

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. What do they report in common? You know what?

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. A very big mess since circa 2001, and now becoming quite a dangerous mess. It’s a mess.