Smart Data Collective

APRIL 13, 2020

Back in 2011, my colleagues and I first started discussing the evolving standards of customer service in business. Big data is crucial to customer service optimization. Big data is crucial for any organization that wants to attract and retain customers. Chatbots are one of the most important developments in customer service.

Data Collection 141

Data Collection Big Data Cost-Benefit Strategy 141

CDW Research Hub

MARCH 31, 2021

Sirius is among a handful of companies to make the Tech Elite 250 every year since its 2011 inauguration. CRN , a leading IT news organization and brand of The Channel Company , has recently named Sirius to its 2021 Tech Elite 250 list. With over 2,600 employees, multiple offices across the U.S.,

IT 52

IT Optimization Technology Strategy 52

CIO Business Intelligence

MARCH 10, 2022

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.” years after its launch in June 2006.

Sales 128

Sales Testing Experimentation Data Processing 128

DataRobot Blog

MAY 10, 2022

It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively). This sentiment is also captured in the guidance provided by SR 11-7: .

Risk 64

Risk Modeling Machine Learning Data Quality 64

Smart Data Collective

FEBRUARY 14, 2023

The best part is that many of these web apps are using AI technology to provide the optimal user experience. Web developers know that they’re working within the constraints of a browser, so they tend to optimize their product to operate as efficiently as possible with fewer computing resources.

Risk 115

Risk Technology Optimization Machine Learning 115

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. As an analyst, I was upset that this change would hurt my ability to analyze the effectiveness of my beloved search engine optimization (SEO) efforts – which are really all about finding the right users using optimal content strategies.

Optimization 154

Optimization Reporting Experimentation Metrics 154

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003. So that’s one.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Occam's Razor

JUNE 4, 2012

The first part of my Market Motive video covers the best way to identify optimal starting points for improving bottom-line impact right away (I call it campaigns, keywords, outcomes ) and how to find opportunities for making immediate fixes ( optimizing ad copy, landing pages, match types ). Criminal behavior. You're in business.

Reporting 127

Reporting Analytics Metrics Advertising 127

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. You're choosing only one metric because you want to optimize it. By 2011, the company had 20 full-time photographers on staff. But it is not routine. So, how do we fix this problem?

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

MAY 14, 2012

It used to fall behind lag the other two in brand queries, but you can see how starting late 2009 (bad year for Target in this context) Amazon overtook Target and now (2011, 2012) is casting a big shadow over Target. They are full of specific insights you can use to optimize your online search campaigns. Five Caveats!

Measurement 128

Measurement Analytics Advertising Marketing 128

Occam's Razor

APRIL 25, 2011

This latter category contains things that are so obviously sub-optimal that no one should be doing them any more. Sophisticated Search Engine Optimization is mandatory in our world of Bing / Yandex / Baidu / Google. " I'd postulated this rule in 2005, it is even more true in 2011. Yet there they are. The 10/90 rule.

Marketing 126

Marketing Measurement Metrics Testing 126

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

This is essentially the same as finding a truly useful objective to optimize. We use this knowledge to define objective functions to optimize our ads system with a view towards the long-term. For instance, in 2011 we altered the AdWords auction ranking function to account for the long-term impact of showing a given ad.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Occam's Razor

SEPTEMBER 24, 2012

So to imply the ROI in Step 4 is sub-optimal. Based on results of value identified for Facebook, optimize their advertising mix strategy for future product launches. Because we don't understand the uniqueness, we fall back on profoundly sub-optimal old world metrics like Reach or Online GRP equivalents. Time to dive deeper.

Advertising 165

Advertising ROI Metrics Marketing 165

Occam's Razor

JANUARY 20, 2010

We will cover measuring success of SEO efforts on one web page, how to do search engine optimization for b2b websites, how to rank for highly saturated industries / categories / keywords, and which competitive intelligence tools do I use for search program optimization (and targeting display ads using search data!).

Metrics 90

Metrics B2B Analytics Measurement 90

The Unofficial Google Data Science Blog

APRIL 17, 2017

For us, demand for forecasts emerged from a determination to better understand business growth and health, more efficiently conduct day-to-day operations, and optimize longer-term resource planning and allocation decisions. Journal of the American Statistical Association 106.496 (2011): 1513-1527. [9] 2014): 276. [7] and Jack B.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

IBM Big Data Hub

NOVEMBER 20, 2023

It was introduced in 2011 as an alternative to the SATA and Serial Attached SCSI (SAS) protocols that were the industry standard at the time, and it conveys better throughput than its predecessors. Since 2011, NVMe technology has distinguished itself through its high bandwidth and blazing-fast data transfer speeds. What is NVMe?

Internet of Things 72

Internet of Things Enterprise Technology IoT 72

CIO Business Intelligence

JULY 3, 2023

Rick Johnson, who has been a CIO since 2011, was appointed the first-ever chief digital officer at Marvin, a manufacturer of doors and windows in January 2023. He says the CDO role there “is inclusive of a typical CIO role.”

IT 113

IT Digital Transformation Strategy Technology 113

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. I built databases my whole career.

Data-driven 76

Data-driven Data Warehouse Data Processing Marketing 76

Domino Data Lab

OCTOBER 9, 2019

According to David Madigan, the former chair of Department of Statistics and current Dean of Faculty of Arts and Sciences and Professor of Statistics at Columbia University, a good metric for determining the optimal number of clusters is Hartigan’s rule (J. So, according to the Gap statistic, five clusters is optimal for this dataset.

Statistics 100

Statistics Machine Learning Metrics Measurement 100

Ontotext

JULY 29, 2021

If you’ve enjoyed the efficiency of rich snippets, you’ve enjoyed the riches schema.org ( based on RDF ) brings to the world of search since 2011. The most advanced enterprise knowledge graphs smarten up proprietary information by using global knowledge as context for interpretation and source for enrichment.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Sisense

MAY 4, 2020

As long ago as 2011, the McKinsey Global Institute estimated that retailers using data analytics at scale could increase their operating margins by more than 60 percent. So it’s unsurprising that 83 percent of enterprise executives say they’ve pursued Big Data projects to gain a competitive advantage.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

Occam's Razor

SEPTEMBER 13, 2016

If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Take this as an example… How do you know that this is a profoundly sub-optimal collection of choices to provide? Ok, maybe statistical modeling smells like an analytical skill. But, that's as close as it gets. Look for them!

Modeling 127

Modeling Reporting Strategy Consulting 127

Domino Data Lab

MARCH 3, 2019

While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

The Unofficial Google Data Science Blog

JULY 11, 2017

If both variances are positive then the optimal estimator of $y_{t+1}$ winds up being "exponential smoothing," where past data are forgotten at an exponential rate determined by the ratio of the two variances. Also notice that while the state in this model is Markov (i.e. Journal of Statistical Software 36 , 1–16. Petrone, S., Polson, N.

Forecasting 64

Forecasting Statistics Modeling Software 64

Occam's Razor

FEBRUARY 22, 2010

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? The secret to making optimal use of CI data lies in one single realization: You must ensure you understand how the data you are analyzing is collected. The Optimal Competitive Analysis Process. In May 2010 (!). use to your benefit.

Metrics 123

Metrics Advertising Reporting Software 123

Occam's Razor

JUNE 28, 2011

By 2011 as web experiences have become richer and more frequently and more complex I am so mad that our life is not dominated by pan-session metrics. " Sub-optimal on so many fronts. This is perhaps the thing that makes me hopping mad and scream like a banshee. That our campaigns are not focused on Visitors (not just Visits!)

Metrics 126

Metrics Measurement Key Performance Indicator Reporting 126

Domino Data Lab

AUGUST 22, 2019

You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. 2011) earlier in this chapter. s lead may not be the optimal choice. Note: Maas, A., ourselves.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

CIO Business Intelligence

MARCH 29, 2022

For the past decade, process mining specialist Celonis has been helping enterprises optimize processes around their ERP systems — and more recently has branched out to help them optimize their use of workflow automation platforms, too. This analysis is key, according to R. in October 2021.

IT 98

IT Enterprise Optimization Cost-Benefit Optimization 98

Domino Data Lab

JULY 9, 2019

or are you looking for me to help you decide on what is the optimal treatment in order to get the outcome you want?” You really want…you really already know what actions you want to perform and you want me to help you figure out what’s the optimal treatment, not what’s going to happen in the absence of treatment.”

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Smart Data Collective

JUNE 6, 2021

If your company deals with hundreds or thousands of customers, optimal productivity, budgeting and customer satisfaction should be at the top of your priority list. It was released in 2011 and praised for its serverless architecture that enables highly scalable and fast-provided structured query language (SQL) analytics.

Big Data 133

Big Data Data Analytics Analytics Cost-Benefit 133

Domino Data Lab

SEPTEMBER 25, 2019

For an illustration, we will make use of the World Bank API to download gross domestic product (GDP) for a number of countries from 1960 through 2011. Fortunately, the forecast package has a number of functions to make working with time series data easier, including determining the optimal number of diffs. > library(forecast).

Forecasting 87

Forecasting Modeling Statistics Optimization 87

O'Reilly on Data

MAY 21, 2019

Consider deep learning, a specific form of machine learning that resurfaced in 2011/2012 due to record-setting models in speech and computer vision. Another algorithm (the “trainer” and “pipeline”) that uses data to produce the Model that best optimizes some objective function. Use ML to unlock new data types—e.g.,

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

We need to know whether the decision we are optimizing is significant enough to justify the time and experiment resources spent optimizing it. Selection bias played a notable role in the discussion of the avian influenza outbreak of 2011 during which the reported case fatality rate was as high as 80% [2].

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

NOVEMBER 2, 2015

In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. When you search for them, if you find them, you end up on sub-optimal landing pages. We all know that Page Likes is a profoundly sub-optimal metric. There is no dearth of sub-optimal strategies. Success Metrics.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

CIO Business Intelligence

JUNE 1, 2023

Optimize performance and costs across any workload type and automatically route workloads to the best architectures. With the ability to seamlessly burst into the cloud and optimize spending across multicloud, customers can moderate their budget and avoid unplanned expenses. Intelligent.

ROI 109

ROI Cost-Benefit Machine Learning Testing 109

AWS Big Data

APRIL 5, 2023

Showpad also continues to expand the in-product reporting while continuing to optimize performance for the best customer experience. Showpad also launched dashboards and reports to over 1,300 customers worldwide, providing access to tens of thousands of users across all its customers.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

O'Reilly on Data

MAY 11, 2020

The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. YOUTUBE, CONSPIRACY, AND OPTIMIZATION. It’s a shock to read a novel about the future, and realize that you’re living that future.

Modeling 188

Modeling Advertising Recreation/Entertainment Metrics 188