Smart Data Collective

OCTOBER 30, 2019

There are a number of tactics that marketers can pursue to optimize campaigns with machine learning algorithms. Big data technology has introduced a number of solutions for the marketing profession. It is able to handle massive data sets, which can aid marketers in a number of ways.

Machine Learning 72

Machine Learning Advertising Big Data Marketing 72

CIO Business Intelligence

MARCH 21, 2022

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. As in the finance sector, security and compliance are paramount concerns for data scientists.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

IBM Big Data Hub

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. AI can help marketers create and optimize content to meet the new standards.

Marketing 82

Marketing Technology Advertising ROI 82

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Data Analyst Job Description: Major Tasks and Duties Data analysts collaborate with management to prioritize information needs, collect and interpret business-critical data, and report findings.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

JUNE 15, 2022

Accurate client data collection and analysis are critical to maximizing all of these activities. Products that are likely to be purchased on impulse, for example, are often positioned closest to the checkout register to optimize their sales potential. Better Understand Customer Demographics. Reduce customer acquisition expenses.

Advertising 97

Advertising Cost-Benefit ROI Sales 97

Smart Data Collective

APRIL 9, 2020

This information is later provided, sold, and monopolized by corporations who are looking to make targeted advertising campaigns, collect user data, and much more. While this might be harmless in a way, not everyone is so calm about giving out their data. And not all data collection consists of mere browsing data.

Advertising 97

Advertising Data Collection Optimization Marketing 97

Smart Data Collective

NOVEMBER 12, 2021

While I understand that selling products, cutting costs and delivering brand strategy is important for long term business results, the lack of priority in using data troubles me. It’s more difficult to reach consumers and technology buyers today than it ever has been in the history of marketing and advertising.

Marketing 132

Marketing Advertising Data-driven Strategy 132

IBM Big Data Hub

FEBRUARY 14, 2024

Personalize customer experiences The use of AI is effective for creating personalized experiences at scale through chatbots, digital assistants and customer interfaces , delivering tailored experiences and targeted advertisements to customers and end-users. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

BizAcuity

MARCH 1, 2019

Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. This is where AI-based analysis and response play a critical role in extracting optimal value from the data. and constantly report this data to backend.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Occam's Razor

APRIL 13, 2015

And, that's not all, when you consider that it is segmented data, across multiple dimensions, it really is impressive. But, I'm a big believer in optimizing data access to be at the right time as defined by your decision-making/action-taking speeds inside your company.

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. It also forces a lot less think than might be optimal. Everything seems sub-optimal. Yes, text can be optimized.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. We are all aware that the best companies in the world have an optimal DC-DR-DA allocation when it comes to time/money/people: 15%-20%-65%.

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

Occam's Razor

DECEMBER 12, 2016

I was asked a few weeks back: " What companies should we proactively help with analytics, for free, so that they can make smarter data-influenced decisions ?" You got me, I am ignoring all the data layer and custom stuff! Even if you follow the 10/90 rule, it is important to focus our time and resources optimally.

Analytics 141

Analytics Data-driven Strategy Consulting 141

Occam's Razor

MAY 27, 2015

Here are the digital myths that are leading us down a profoundly sub-optimal path: 1. A data-first strategy is a winning formula. Programmatic advertising is all the rage. Per our friends at Wikipedia, Programmatic encompasses an array of technologies that automate the buying, placement and optimization of media inventory.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

datapine

NOVEMBER 19, 2019

Dubai airport currently uses computer vision-powered face recognition to provide a smoother customer journey, streamlining transitions through security, passport control, and departures while gathering essential consumer data that assist in the continual improvement of its services. One of the IT buzzwords you must take note of in 2020.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Having more data is generally better; however, there are subtle nuances. That seems much more robust.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

AWS Big Data

FEBRUARY 21, 2023

We dive deep into a hybrid approach that aims to circumvent the issues posed by these two and also provide recommendations to take advantage of this approach for healthcare data warehouses using Amazon Redshift. What is a dimensional data model? It optimizes the database for faster data retrieval. What is a hybrid model?

Data Warehouse 68

Data Warehouse Data Lake Cost-Benefit Modeling 68

Occam's Razor

SEPTEMBER 15, 2014

A majority of YouTube consumption is on mobile, yet if there is an advertising or content strategy inside a company for YouTube it rarely accommodates for this reality. In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Many reasons. CEOs still don't get it.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

AUGUST 13, 2012

If your wish in the second part is to track effectiveness of advertising ( how to determine ROI ) then please see this post: Measuring Incrementality: Controlled Experiments to the Rescue! I can use that to hypothesize what an optimal budget allocation might look like. That is the solution.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

MAY 19, 2014

There is unlimited amount of data thrown off our digital existences. (Or Or to use sexy term du jour , we have big data!). I like it because CTR it immediately discourages spray and pray strategies so prevalent in our industry (particularly in display advertising). What's the one thing I should care about?

Metrics 159

Metrics Key Performance Indicator Analytics Marketing 159

Domino Data Lab

JUNE 23, 2019

This was all enabled and accelerated by an earlier wave of big data technologies ushered in by Google’s MapReduce paper and the open source project Hadoop. It turns out that that level of measurement and tracking is what you need to throw off all the data and labels that you need for building machine learning products.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

APRIL 29, 2013

It turns out that Marketers, especially Digital Marketers, make really silly mistakes when it comes to data. Small data. Here's why… Real-time data is very expensive. It is expensive from a systems/platforms/data processing/data reporting perspective. Focus on that, and you'll get big 5.

Marketing 166

Marketing Metrics Advertising Measurement 166