AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. Database cluster – For this solution, we use an Amazon Aurora MySQL-Compatible Edition 8.0 version cluster.

Data Warehouse 124

Data Warehouse Dashboards Risk Management Risk 124

datapine

MARCH 21, 2023

To help you in that task, at datapine, we are putting together a series of blog posts that offer an in-depth look into different types of graphs and charts , teaching you when to use them through interactive examples. This is one of its greatest advantages and the reason why it is so popular in the analytical world.

Visualization 174

Visualization Sales KPI Dashboards 174

Peter James Thomas

MARCH 23, 2020

Humans are inherently social animals and limiting our social interactions can be injurious to mental health. To provide some more colour, let’s go back to 2007 / 2008. Of course I ran my notes past the people interviewed, a second point of interaction. In talking to friends and associates, this can be a difficult transition.

Data Strategy 89

Data Strategy Strategy Insurance Interactive 89

Jen Stirrup

OCTOBER 30, 2022

As a first step to customer insight, analytical tools can summarise and aggregate historical information about customers. One particular technology which is good for summarising and aggregating data is called OLAP (On Line Analytical Processing). This model can assist in decision making and in focusing marketing efforts.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

datapine

NOVEMBER 19, 2019

Visual analytics: Around three million images are uploaded to social media every single day. In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. The coolest innovation in modern currency, ever.

Technology 279

Technology Internet of Things IT IoT 279

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake 79

Data Lake Data Warehouse Sales Data-driven 79

IBM Big Data Hub

JULY 31, 2023

Why mainframe application modernization stalls We’ve experienced global economic uncertainties in recent memory, from the 2008 “too big to fail” crisis to our current post-pandemic high interest rates causing overexposure and insolvency of certain large depositor banks.

Digital Transformation 50

Digital Transformation Uncertainty Risk Data Warehouse 50

Cloudera

AUGUST 8, 2022

Also, selecting the option to enable Iceberg analytic tables ensures the VC has the required libraries to interact with Iceberg tables. 1 2008 7009728. Let’s take a look at how we can take advantage of this Iceberg table using Impala to run interactive BI queries. from pyspark.sql import SparkSession. import sys.

Snapshot 91

Snapshot Data Warehouse Machine Learning Cost-Benefit 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

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

DataKitchen

MAY 10, 2021

When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics. Data errors impact decision-making.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

Data Warehouse 82

Data Warehouse Sales Visualization Data Processing 82

CIO Business Intelligence

FEBRUARY 27, 2023

When Greg Greenlee joined the IT industry in 2008, the lack of representation of Black IT professionals among attendees and speakers at tech conferences and events was readily apparent. “It Students learn at their own pace and can complete a nanodegree program tailored to help land a high-paying career in tech.

Technology 99

Technology Data Processing IT Interactive 99

Ontotext

DECEMBER 30, 2022

In 2008, we received a small round of funding and focused on bringing this technology to the market. With our customers top of mind, especially those new to knowledge graphs, we provided interactive user guides to speed understanding and implementation. Typical memory usage is now 15% to 20% less.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

In 2008, we received a small round of funding and focused on bringing this technology to the market. With our customers top of mind, especially those new to knowledge graphs, we provided interactive user guides to speed understanding and implementation. Typical memory usage is now 15% to 20% less.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

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

Cloudera

DECEMBER 18, 2018

Standards and architectures are the guidelines that ensure the ability for open source software to integrate, exchange and interact. IoT gateways provide not only end-point connectivity but also a degree of edge processing and analytics. In spirit and by definition, open source excludes all things proprietary. Open source for IoT.

IoT 43

IoT Internet of Things Machine Learning Insurance 43

bridgei2i

MAY 26, 2020

In the post-COVID era, they can be empowered with a high standard of data and analytics sophistication to cope and thrive. To introduce him better, he has been a supply chain analytics professional for over 14 years. And the third dimension is their data and analytics sophistication. Subscribe Now. Transcript. Anushruti: Right.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Alation

AUGUST 5, 2021

This poor-quality data governance can result in confusion for customers that have multiple interactions with each department over time. For example, if you have information on your customers from 2008, and it is now 2021, then there would be an issue with the timeliness as well as the completeness of the data. Sales might say “Sally.”

Data Quality 52

Data Quality IT Data Governance Sales 52

Data Science and Beyond

JULY 22, 2018

No one is born an expert – expertise is gained by learning from and interacting with the world. One of the reasons I decided to pursue a PhD in natural language processing and personalisation was my interest in what I considered to be AI back in 2008. In addition, while I agree with Hernán et al.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Occam's Razor

NOVEMBER 18, 2014

Ok, so perhaps as the author of two bestselling books on analytics I love it a little bit more! In each case the creator did something interesting that made me wonder how I can use their strategy in my daily efforts in service of digital marketing and analytics. You get a confusing little thing, but the visualization is interactive.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Occam's Razor

OCTOBER 14, 2014

If you've read my first book Web Analytics: An Hour A Day, you know that I've advocated this strategy since 2008! There are four reasons, again from Web Analytics: An Hour A Day, from 2008 (!): This has never been true – not even for people who use the same analytics tool. See Page 269. :).

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

bridgei2i

AUGUST 11, 2020

In our AI to Impact podcast, we’ve been talking with the AI & Analytics leaders, digital transformation advisors, as well as BRIDGEi2i business leaders to understand their point of view on the current situation and its impact on various industries and how enterprises can maintain business continuity while building resilience.

Sales 98

Sales Enterprise B2B Digital Transformation 98

Jet Global

APRIL 5, 2021

The three-statement financial model allows you to explore how your company will perform under multiple circumstances and visualize how different decisions can interact to impact the future of the company. For example, pension funds must be able to pay pensioners during any economic conditions, including a crisis like 2008.

Modeling 98

Modeling Forecasting Metrics Finance 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. To that end, SR 11-7 recommends that financial institutions consider risk from individual models as well as aggregate risks that stem from model interactions and dependencies.

Machine Learning 37

Machine Learning Management Enterprise Risk Management 37

CIO Business Intelligence

MARCH 22, 2022

Fractal Analytics has appointed Manish Tiwari as its CIO. He has 20 years’ experience in IT strategy, architecture, implementation, and governance, and is a qualified Chartered Accountant with a certification in contemporary business analytics practices from IIM Kolkata. December 2021. Airtel CISO Manish Tiwari joins Fractal as CIO.

Internet Publishing and Broadcasting 97

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 97

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. Skills continuing to grow in prominence by 2022 include analytical thinking and innovation as well as active learning and learning strategies.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

AUGUST 8, 2019

2008 – Financial crisis : scientists flee Wall St. Plus, we’re seeing how these issues surface in regulated environments, which have increasingly become target use cases for the popular open source projects used for data analytics infrastructure: Spark, Jupyter, Kafka, etc. Data governance, for the win!

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” Those workflows would feedback into your business analytics. They would’ve said, “You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109