Alation

JULY 15, 2022

I recently led an online session, Data Monetisation and Governance , looking at the evolution of data governance , defining data ethics (from the Turing Institute ), and touching on the balancing act between using data to monetise (by increasing revenue, decreasing spend, or mitigating risk) and meeting ethical obligations.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

Octopai

JUNE 21, 2021

Banking activities certainly have their risks, like credit risk (e.g. borrowers defaulting on loans) and operational risk (e.g. If Basel IV defines how to measure credit and operational risk for the purposes of capital reserve requirements, FRTB defines how to measure market risk for the same purpose.

Risk 52

Risk Measurement Modeling Reporting 52

CIO Business Intelligence

JUNE 12, 2023

In 2012, COBIT 5 was released and in 2013, the ISACA released an add-on to COBIT 5, which included more information for businesses regarding risk management and information governance. One major difference between COBIT and other related frameworks is that it focuses specifically on security, risk management, and information governance.

Risk Management 94

Risk Management Strategy Digital Transformation Enterprise 94

CIO Business Intelligence

AUGUST 4, 2023

For instance, some software developers still use Windows 2007 servers, which are completely end-of-life, and don’t have the necessary security patches. Even with the all the essential security upgrades, the cyberthreat has been real in the last 2 years, and everybody has become more sensitive to it.

IoT 98

IoT Manufacturing Experimentation Digital Transformation 98

Jet Global

NOVEMBER 14, 2022

The purpose of transfer pricing is to ensure that each company in a group earns a fair return on its investment, taking into account risk and the cost of capital. The company transferred IP value to affiliates between 2007 and 2009. Mitigate Your Transfer Pricing Risk through Continuous Monitoring. Download Now.

Cost-Benefit 52

Cost-Benefit Risk Marketing Sales 52

Rita Sallam

JULY 22, 2016

Like when Oracle acquired Hyperion in March of 2007, which set of a series of acquisitions –SAP of Business Objects October, 2007 and then IBM of Cognos in November, 2007. Reeboks made it possible for aerobics classes to become main stream beyond its dancer beginnings. In BI we have had our seminal moments too.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

The Unofficial Google Data Science Blog

JUNE 30, 2016

2007): Propose a finite collection $mathcal L={hat e_k:k=1,ldots,K}$ of estimation algorithms. This simulation scheme was first used in an influential paper by Kang & Schafer (2007), and became a standard for comparing estimators for causal estimands. This fact is well documented by Kang & Schafer (2007). and Donald B.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Cloudera

FEBRUARY 15, 2024

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. There will inevitably be another global financial crisis, but robust data capabilities allow institutions globally to better adapt to regulations, implement compliance strategies, and predict risk. It’s a future state worth investing in.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

Peter James Thomas

JUNE 20, 2019

– Gartner 2007. “60-70% For example in 20 Risks that Beset Data Programmes. . [7]. And a more competent Chief Risk Officer. . However more than 50% of data warehouse projects will have limited acceptance, or will be outright failures”. – CIO.com 2010. “61% 61% of acquisition programs fail”.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

Octopai

APRIL 8, 2020

The worldwide economy was shaken in 2007 when the United States stock market had its largest drop since the Great Depression. While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. Download the Whitepaper.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

IBM Big Data Hub

JUNE 1, 2023

The rule proposal would require US publicly traded companies to disclose annually how their businesses are assessing, measuring and managing climate-related risks. This would include disclosure of greenhouse gas emissions as a measure of exposure to climate-related risk.

Risk 58

Risk Reporting Measurement Finance 58

CIO Business Intelligence

MAY 23, 2023

For example, the cloud can serve as a disaster recovery landing zone that is consumption-based, exceptionally reliable and available, and easily scalable – all attributes that minimize downtime and mitigate the risk of cyberattacks.”

Insurance 82

Insurance Manufacturing Enterprise Sales 82

Octopai

JUNE 16, 2021

Do you ever feel like taking risks? . If you’re a bank, however, taking risks doesn’t just have implications for you, but for all your customers and (if you’re big enough) for the economy as a whole. . The Basel III framework, as well as Basel IV, call for regulation changes in multiple areas, including: Credit risk.

Management 52

Management Risk Management Risk Visualization 52

Occam's Razor

OCTOBER 15, 2012

The cost of failure in the offline world is so high that even when the cost of failure is low (online), they don't want to take the smallest risk. I spend 70% of my time in the US and for those discussions I'm primary looking at speed (connection above), mobile penetration (yes, 2007 was the year of mobile!),

Advertising 136

Advertising Marketing Strategy Insurance 136

CIO Business Intelligence

DECEMBER 20, 2023

William Dettmer, The Logical Thinking Process: A Systems Approach to Complex Problem Solving, Milwaukee, Wisconsin, ASQ Quality Press, 2007 [2] Verizon Payment Security Report, 2022, pages 9 and 64-79, www.verizon.com/paymentsecurityreport [3] Eliyahu M.

Optimization 52

Optimization Data-driven Risk Management Management 52

Decision Management Solutions

AUGUST 18, 2020

Neil Raden and I introduced the basic classification of decisions used here in our book, Smart (Enough) Systems , back in 2007: Strategic, one-time one-off decisions typically made with plenty of time for analysis. The paper focuses on fast, frequent operational decisions.

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88

The Unofficial Google Data Science Blog

JULY 22, 2020

One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. For example, imagine a fantasy football site is considering displaying advanced player statistics.

Experimentation 95

Experimentation Statistics Testing Strategy 95

The Unofficial Google Data Science Blog

APRIL 23, 2024

Risk and Robustness Our estimates $widehat{beta}$ of the "true'' coefficients $beta$ of our model (1) depend on the random data we observe in experiments, and they are therefore random or uncertain. Springer New York, 2007. [8] Controlling Risks under Different Loss Functions: The Compromise Decision Problem. Hammond, R.L.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Grooper

AUGUST 19, 2019

Scoring – i.e. profitability or risk. Banks use analytics to differentiate customers and align product offerings based on credit risk, usage, and other characteristics. The vocabulary of applied analytics includes words and concepts such as: Key performance indicators (KPIs). Master data management. Data governance. Primary keys.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence). Legal concerns, risk, compliance. Frédéric Kaplan, Pierre-Yves Oudeyer (2007). Yuri Burda, et al.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

O'Reilly on Data

DECEMBER 9, 2019

Modern portfolio theory assumes that rational, risk-averse investors demand a risk premium, a return in excess of a risk-free asset such as a treasury bill, for investing in risky assets such as equities. beta) is the level of systematic risk exposure to the market and ? or systematic risk exposure to the overall market.

Statistics 27

Statistics Uncertainty Risk Marketing 27

The Unofficial Google Data Science Blog

MAY 31, 2016

Further, there is the risk that the increased ad spend will be less productive due to diminishing returns (e.g., Cambridge, 2007. In practice, however, increasing precision is not always as easy as increasing spend. the first 100 keywords in a campaign will be more efficient than the next 100 keywords.)

Advertising 42

Advertising Testing Sales Statistics 42

Alation

JUNE 7, 2023

As these issues continue to swirl, many business leaders will suggest pulling back, waiting to see what happens, and minimizing exposure to risk. Finding opportunity in speed Sequoia says that, in a crucible moment, if a business activity is not driving revenue growth, saving money, or reducing risk, it’s “fluffy.”

Uncertainty 52

Uncertainty Data Lake Risk Data-driven 52

datapine

DECEMBER 28, 2021

Drinking tea increases diabetes by 50%, and baldness raises the cardiovascular disease risk up to 70%! Did we forget to mention the amount of sugar put in the tea or the fact that baldness and old age are related – just like cardiovascular disease risks and old age? So, can statistics be manipulated? They sure can. Do numbers lie?

Statistics 363

Statistics Advertising Visualization Data mining 363