Cloudera

FEBRUARY 4, 2021

Risk management and compliance have been dynamic and evolving domains, especially since the financial crisis of 2008. They are able to generate actionable insights like predictive risk modelling, liquidity monitoring, counterparty risk assessment, firm-wide stress testing, improved regulatory reporting and timely fraud detection. .

Risk 88

Risk Marketing Technology Management 88

CIO Business Intelligence

MARCH 16, 2022

In 2008, Praveen Jonnala became global vice president of digital transformation and business solutions for CommScope, then a $2 billion manufacturer of network infrastructure solutions. Today, after 14 years of acquisitions, the business has more than quadrupled in size.

IT 92

IT Manufacturing IoT Marketing 92

DataKitchen

MAY 10, 2021

Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. Alerts report detailed information so the production support team has a specific issue with a complete fact pattern to aid investigation. . Historical Balance.

Testing 214

Testing Manufacturing Data Quality Statistics 214

John Wheeler

NOVEMBER 25, 2020

Through evaluative capabilities including risk and control documentation/assessment, incident management, risk mitigation, key risk indicator reporting/monitoring, and risk quantification and analytics , IRM vendors address multiple market use-case domains defined by Gartner. The current crisis is operationally-centered.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

Smart Data Collective

OCTOBER 15, 2020

Amazon AWS reported that they developed a new live patching process that could handle large clusters of servers, which is important for working on big data applications. Jeff Arnold announced the existence of Ksplice back in 2008, long before big data even became a household term. However, this has changed this past April.

Cost-Benefit 91

Cost-Benefit Big Data Business Objectives Technology 91

Jet Global

MARCH 5, 2019

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). Analytics and reporting: Capturing, structuring, and storing data is good—but being able to analyze and report on it is the ultimate end goal.

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

Octopai

APRIL 18, 2022

The Code of Hammurabi didn’t require insurers to keep extensive records of their calculations and produce reports for external auditors. The regulatory standards of Solvency II and IFRS 17 were direct reactions (along with Basel III, IV, and other numerically-designated innovations) to the pre-2008 financial dropping of the ball by insurers.

Insurance 52

Insurance Risk Cost-Benefit Reporting 52

AWS Big Data

APRIL 20, 2023

In the following sample code, we generate a report showing the quarterly sales for the year 2008. where( col("year") == 2008).groupBy("qtr").sum("qtysold").select( We can also see the temporary data stored on Amazon S3 in the optimized Parquet format. options(**redshiftOptions).option("dbtable", groupBy("qtr").sum("qtysold").select(

Data Lake 80

Data Lake Data Warehouse Sales Data-driven 80

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. Look at all the angst heating up social media when TIOBE or RedMonk releases their reports on language rankings. But what are “trends”? Starting with Python 3.0

Machine Learning 362

Machine Learning Software Testing Technology 362

datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

JUNE 27, 2022

Sentry was started as an open source project by David Cramer in 2008 to provide monitoring services for application developers. Tyson: Sentry is able to instrument a variety of languages and frameworks for automated error reporting. million developers today. I nerd out a bit when I see this. Is it still true today? .

Software 97

Software Experimentation Testing Marketing 97

Jet Global

MAY 19, 2020

Due to the uncertainty of the magnitude and the duration of the crisis, CFOs need to optimize cash reserves and liquidity preservation. Being prepared for all possible scenarios encourages us to react to the critical factors we have identified and not overreact to extraneous reports. Communication is Key.

Uncertainty 98

Uncertainty Risk Management Reporting 98

Hurwitz & Associates

SEPTEMBER 21, 2018

Customers have been tapping public clouds for some time – since business use of cloud computing emerged in 2008-2009 – and they are now migrating more enterprise workloads to private clouds and public clouds. Project Magna is a VMware technology preview that leverages AI/ML to self-optimize virtual infrastructure. Buy vs. Build.

Software 40

Software IT Strategy IoT 40

Occam's Razor

NOVEMBER 18, 2014

And sometimes they are indeed optimal: 7 Data Presentation Tips: Think, Simplify, Calibrate, Visualize. Better than the table, but perhaps less optimal than the Treemap. It is created using the All Traffic Sources report in Google Analytics, and clicking Source (rather than the default Source/Medium). Table comes in.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Jet Global

APRIL 22, 2020

As compared to the past crisis of 9/11 and the financial crisis of 2008, the global humanitarian and economic upheaval of COVID-19 is unprecedented. I think it certainly is going to be one where need to understand what is that level of data to be captured to really focus and monitor on the business. Plan for Multiple Scenarios.

Uncertainty 59

Uncertainty Testing Management Modeling 59

Jet Global

APRIL 5, 2021

Aside from budgeting and forecasting, the FP&A team is also tasked with decision-making support and special projects such as market research and process optimization. If you are looking for more sample financial models in Excel , insightsoftware has a large number of sample reports that you can download.

Modeling 98

Modeling Forecasting Metrics Finance 98

CIO Business Intelligence

MARCH 22, 2022

He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations. He will be based in Gurugram, reporting to CEO Pratik Pota, and will have responsibility for all the digital transformation initiatives at Jubilant FoodWorks. December 2021. He will be based in Gurugram.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

O'Reilly on Data

JULY 15, 2019

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. This is similar to recommendations made in a recent report released by The Future of Privacy Forum and Immuta (their report is specifically focused on ML). Image by Ben Lorica.

Machine Learning 37

Machine Learning Management Enterprise Risk Management 37

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. Large-Scale Parallel Statistical Forecasting Computations in R ”, Google Research report. [8] 2014): 276. [7]

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Occam's Razor

APRIL 10, 2007

UPDATE: 04 Mar 2008: You can now implement this survey 100% for free, a true onexit survey with no strings attached. An extremely simple question that asks the survey takers to self report their own perception of your website's effectiveness in helping them complete their tasks. Ok so survey got the nod, what questions to ask?

Measurement 120

Measurement Strategy Sales Analytics 120

Occam's Razor

MAY 18, 2010

So it was with absolute delight that I wrote a detailed post about the release of Advanced Segmentation feature in Google Analytics in Oct 2008: Google Analytics Releases Advanced Segmentation: Now Be A Ninja! You can imagine then how absolutely heartbreaking it is for me to note that nearly all reporting that I see is data in aggregate.

Analytics 123

Analytics Key Performance Indicator Metrics Measurement 123

Occam's Razor

SEPTEMBER 30, 2008

We make some reports that track month over month change and others with year over year change. Let's say I did lots of things to drive SEO from Nov 2007 to May 2008. million to help me with search engine optimization of my blog's URL stems was a genius investment! [QQ Let's go. the question first.

KPI 68

KPI Key Performance Indicator Metrics Consulting 68

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. The data consist of the weekly initial claims for unemployment insurance in the US, as reported by the US Federal Reserve.

Forecasting 64

Forecasting Statistics Modeling Software 64

Occam's Razor

SEPTEMBER 29, 2009

The data in the above report shows how frequently during a time period do the website's visitors visit the website. You can accomplish these goals: ~ Get an optimal understanding of what kind of people you ended up attracting to your website (look at primary purpose & distribution). I am using Compete for the above report.

Measurement 128

Measurement Metrics Analytics Marketing 128

Domino Data Lab

JULY 22, 2019

If you look into the middle bucket, they have three things that they report in common. Now, working down to the mature part of this, they report two things in common. The problems down in the mature bucket, those are optimizations, they aren’t showstoppers. What do they report in common? You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109