Remove Data Collection Remove Data Quality Remove Marketing Remove ROI
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What you need to know about product management for AI

O'Reilly on Data

You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. That foundation means that you have already shifted the culture and data infrastructure of your company. What delivers the greatest ROI? If you can’t walk, you’re unlikely to run. AI doesn’t fit that model.

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Analyst, Scientist, or Specialist? Choosing Your Data Job Title

Sisense

They are the link between the data resources available to an enterprise and executives looking for opportunities to make the business better, faster, and stronger. Data Analyst. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

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Financial Dashboard: Definition, Examples, and How-tos

FineReport

Financial indicators, such as revenue, gross profit, asset to debt ratio, current ratio, turnover, and price-earnings (P/E) ratio, serve as key measures of profitability, solvency, operational capability, and market valuation. Ensuring seamless data integration and accuracy across these sources can be complex and time-consuming.

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Dear Avinash: Your Digital Marketing + Analytics Challenges Answered

Occam's Razor

about digital marketing and analytics. Grow traffic first, with even with bad measurement I can find positive ROI areas for growth or invest time getting Analytics in order first for more objective decision making? We wonder why data people are not loved. :). For some answers, What is Avinash's typical day like?

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The 6 Layers of an IoT Solution

CDW Research Hub

Data collection: IoT infrastructure often serves as the nucleus to integrate data from multiple sensors— and this data must be modeled processed to achieve your desired outcome. Data modeling: Modeling is necessary to normalize this data across all platforms and sensor groups. Tracking customer behavior.

IoT 89
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Dear Avinash: Attribution Modeling, Org Culture, Deeper Analysis

Occam's Razor

A couple weeks back I'd requested the nice folks following me on Google+ and Facebook to submit their most important digital marketing and analytics questions. The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. EU Cookies!)

Modeling 124
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Product Management for AI

Domino Data Lab

Companies that understand how to apply machine learning will be best positioned to scale and win their respective markets over the next decade. Without large amounts of labeled training data solving most AI problems is not possible. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end.