Smart Data Collective

APRIL 5, 2019

The majority of consumers who have good interaction with a brand on social networks are more likely to recommend that brand to others. million in Series B in 2010, and was quickly acquired by Twitter for $40 million in 2011. The Complex Role Between Big Data and Social Listening Tools. Why is this so important?

Big Data 79

Big Data Interactive Data-driven Metrics 79

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. In our opinion, both terms, agile BI and agile analytics, are interchangeable and mean the same. What Is Agile Analytics And BI? Agile Business Intelligence & Analytics Methodology.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Occam's Razor

SEPTEMBER 24, 2012

But if you read it, I promise, you'll see Facebook marketing, advertising and analytics in a completely new light. You've deployed five, six or 15 web analytics tools on your website/mobile app. If you are new to analytics, maybe you obsess about the wrong thing (impressions). Let's go! That is ok. That is how!

Advertising 165

Advertising ROI Metrics Marketing 165

Sisense

NOVEMBER 26, 2019

Analytics and business intelligence (BI) are no longer the province of a handful of specialized experts. As part of your digital transformation, you need to find an analytics and BI partner that will empower your in-house users and builders. Choose the right cloud; choose the right analytics partner and thrive.

Digital Transformation 93

Digital Transformation Data-driven ROI Software 93

Domino Data Lab

JANUARY 6, 2019

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. Downey (2011). Based on the business focus of an organization, people need different approaches to training.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

APRIL 3, 2019

That resulted in server farms, collecting volumes of log data from customer interactions, data which was then aggregated and fed into machine learning algorithms which created data products as pre-computed results, which in turn made web apps smarter and enhanced e-commerce revenue. Instead, they refactored their monolithic web apps (e.g.,

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

IBM Big Data Hub

MARCH 25, 2022

We founded MemSQL (the original name of SingleStore) in 2011. Around 2011, we worked with a hot gaming company with a real-time analytics use case to understand what their users were doing in the moment to optimize the gaming experience by monitoring how users interacted with the game.

Data-driven 70

Data-driven Data Warehouse Data Processing Marketing 70

Peter James Thomas

AUGUST 12, 2018

As Neil puts it in his article: […] technology is never a solution to social problems, and interactions between human beings are inherently social. Especially for all Business Analytics professionals out there (2009). [7]. See in particular my trilogy: Using historical data to justify BI investments – Part I (2011).

Metrics 49

Metrics Statistics Data Quality Measurement 49

Occam's Razor

SEPTEMBER 13, 2016

The post is also sourced from a recent edition of my newsletter, The Marketing – Analytics Intersect. I've added new insights, recommendations, and two bonus lessons on how to do surveys better and a direct challenge to your company's current analytics strategy. Today's post comes from a source of deep pain.

Modeling 127

Modeling Reporting Strategy Consulting 127

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. Interactive Data Visualization in Python. There are a couple of commonly used interactive data visualization libraries in Python: Plotly and Bokeh. shows a view of the plot without interactions turned on. Introduction. fill=True,).:

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Juice Analytics

MARCH 22, 2021

This collection of world-class data stories demonstrates how to combined data visualization, interactivity, and classic storytelling. Buy or Rent by The Upshot An interactive calculator that lets the user answer a basic and important financial question. Once again, the NYT design team delivers an interactive lesson with data.

Visualization 135

Visualization Interactive Statistics Forecasting 135

Domino Data Lab

JULY 9, 2019

The importance of data scientists having analytical technical skills coupled with the ability to clearly and concisely communicate with non-technical stakeholders. I’m not doing any analytics about people and claiming that somebody is a NASCAR mom or a business decision maker who’s interested in God knows what.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. The platform also provides analytics and insights to support successful information sharing and fuel continuous improvement.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Occam's Razor

NOVEMBER 2, 2015

In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. "So what if no one interacted with your Twitter feed, at least they saw it!" I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). Success Metrics.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167