IBM Big Data Hub

MARCH 25, 2022

We founded MemSQL (the original name of SingleStore) in 2011. Nikita Shamgunov (Co-Founder of SingleStore) and I were seeing the signals in the market. For example, their applications ingest market data, ticker traffic, internal data, and other proprietary data streams to support banking needs.

Data-driven 69

Data-driven Data Warehouse Data Processing Marketing 69

Occam's Razor

FEBRUARY 22, 2010

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? For example, with Alexa , you can report on traffic statistics (such as rank and page views), upstream (where your traffic comes from) and downstream (where people go after visiting your site) statistics, and key-words driving traffic to a site.

Metrics 124

Metrics Advertising Reporting Data Collection 124

Occam's Razor

APRIL 8, 2013

Experiments come in all shapes and sizes: A marketing campaign. Try to understand your market. Read up on ways that companies are growing their business, from growth hacking to content marketing, and use that as inspiration. By 2011, the company had 20 full-time photographers on staff. Do it now; we'll wait.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

Peter James Thomas

AUGUST 12, 2018

It is entirely feasible that some market event occurs this year ( for example the entrance or exit of a competitor, or the launch of a new competitor product) which would render prior year figures a poor guide. Integrity of statistical estimates based on Data. Using historical data to justify BI investments – Part II (2011).

Statistics 49

Statistics Metrics Data Quality Measurement 49

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

Forecasting 66

Forecasting Statistics Modeling Software 66

Cloudera

SEPTEMBER 29, 2022

But more dynamic information like freshness, statistics, access controls, owners, documentation, best uses of the data, and lineage also need to be considered to be part of the data product and interface of the data. . But it is not clear that that definition is truly what is needed in the market.

Data Architecture 74

Data Architecture Data Warehouse Metadata Sales 74

Jen Stirrup

OCTOBER 21, 2019

What happens if diversity is reduced to marketing, and the inclusion piece is forgotten? What happens if a diversity issues bumps up against a marketing issue, for example? In reality, however, hyper-formalisation’ can lead to disadvantage (Noon, Healy & Forson 2011) as the rules become so rigid, that nobody can pass them.

Data-driven 49

Data-driven Marketing Testing Insurance 49

The Unofficial Google Data Science Blog

MAY 31, 2016

Such regions are often referred to as Generalized Market Areas (GMAs) or simply geos. The regions were originally formed based on television viewing behavior of their residents, clustering together “exclusive geographic area of counties in which the home market television stations hold a dominance of total hours viewed.”

Advertising 43

Advertising Testing Sales Statistics 43

Domino Data Lab

MARCH 3, 2019

After a data science conference, our marketing group wanted to follow-up by surveying 300 attendees from industry. That’s the point where models degrade once exposed to live customer data, and where it requires significant statistical expertise to answer even a simple “Why?” Surveying ABC adoption in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Occam's Razor

SEPTEMBER 24, 2012

This audience is immensely attractive to Brands and Marketers around the world. Completely ignore the question of whether Facebook works (for many, many, many companies it is a very effective marketing channel). It is always so cool to run marketing campaigns in large homogenous markets (like Europe, Asia, or large chunks of the US).

Advertising 165

Advertising Metrics ROI Marketing 165

CIO Business Intelligence

APRIL 9, 2025

One of the most fundamental tenets of statistical methods in the last century has focused on correlation to determine causation. 2011 Turing Award winner Judea Pearls landmark work The Book of Why (2020) explains it well when he states that correlation is not causation and you are smarter than your data.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Occam's Razor

SEPTEMBER 13, 2016

The post is also sourced from a recent edition of my newsletter, The Marketing – Analytics Intersect. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Ok, maybe statistical modeling smells like an analytical skill. Today's post comes from a source of deep pain.

Modeling 128

Modeling Reporting Strategy Consulting 128

Sisense

MAY 4, 2020

These statistics highlight how large the task is to extract, transform, and load data that will be ready for analysis. Nearly every product on the market will be forced down one of two paths, becoming either ‘smart’ (i.e., Information about the size and growth of data is abundant. analytics- and data-driven) or obsolete. ”.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

Occam's Razor

JUNE 4, 2018

I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. Checkout the Kimbao Sauvignon Blanc you can see sales and would buy it again rates since 2011. I don’t mean: BUY IT NOW OR ELSE! Sizing the Opportunity. Add to Basket!

Strategy 125

Strategy Cost-Benefit Testing Sales 125

Domino Data Lab

JULY 9, 2019

I want data scientists that I can drop in a room with somebody from product or marketing or somebody who does not speak calculus, and that speaks to a lot of the things that Pete said. Again, the person from marketing or product does not come to you and say, “Please minimize this hinge loss with a polynomial kernel.”

Data Science 112

Data Science Machine Learning Advertising Modeling 112

datapine

AUGUST 29, 2022

This process often comes with challenges related to scalability, consistency, reliability, efficiency, and maintainability, not to mention dealing with the number of software and technologies available in the market. Product/market fit is THE most important factor to get right. is one of the greatest on the market.

Big Data 263

Big Data Data Analytics Analytics Data mining 263