Boris Evelson

MAY 17, 2018

I’ve been watching this trend with great curiosity (and first wrote about it in 2008). On the one hand, software product vendors are slowly but surely migrating from just selling products to selling solutions — and solutions always require professional services. IBM led the trend when it acquired PwC Consulting in 2002.

Consulting 45

Consulting Analytics Software IT 45

Cloudera

JANUARY 26, 2022

Big Data” became a topic of conversations and the term “Cloud” was coined. . In 2008, Cloudera was born. So private clouds, or on-premises data centers, became more suitable for sensitive data. Brand-new virtualized private network connections allowed users to share access to the same physical infrastructure.

Data Processing 87

Data Processing IoT Cost-Benefit Digital Transformation 87

Smart Data Collective

OCTOBER 31, 2022

Human analysts are able to incorporate these emotional responses into their stock predictions, combining them with trend data to produce relatively accurate analytics. Fortunately, the first robo-advisors were created in 2008. Unfortunately, even the same trends can have different interpretations from multiple analysts.

Finance 139

Finance Cost-Benefit Marketing Statistics 139

Smart Data Collective

MARCH 27, 2019

. Frugal living has become a major fad since the onset of the recession in 2008. Gaurav Deshpande of the Big Data and Analytics Hub from IBM highlighted this. Capturing and using location data requires tools that are capable of handling large volumes of data at high velocity. Consumers saved $3.1

Big Data 63

Big Data Technology Risk Management 63

Paul Blogs on BI

MARCH 25, 2020

A few years ago, when the BI world was obsessed with Big Data, I started many of my BI presentations with the following formula: BIG DATA + BAD DATA = BIG BAD DATA. The COVID-19 situation needs a new formula: MISSING DATA + GOOD DATA = MISSING GOOD DATA.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

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. This will be your OLTP data store for transactional data. version cluster.

Data Warehouse 122

Data Warehouse Dashboards Risk Management Risk 122

AWS Big Data

JUNE 2, 2023

My team supports analytics throughout BWH Hotels, including some affiliate and international organizations. Migrating to AWS and QuickSight After a six-month proof of concept, we decided to move fully to AWS for our data and analytics needs. Having used Cognos since 2008, this was not just a lift-and-shift migration.

Business Intelligence 52

Business Intelligence Enterprise Dashboards Sales 52

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). groupBy("qtr").sum("qtysold").select(

Data Lake 77

Data Lake Data Warehouse Sales Data-driven 77

IBM Big Data Hub

JULY 31, 2023

Banks have the most to gain if they succeed (and the most to lose if they fail) at bringing their mainframe application and data estates up to modern standards of cloud-like flexibility, agility and innovation to meet customer demand.

Digital Transformation 50

Digital Transformation Uncertainty Risk Data Warehouse 50

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 80

Data Warehouse Sales Visualization Data Processing 80

Sisense

JULY 14, 2019

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data. Selecting Secure Software.

Software 75

Software Strategy Data Warehouse Modeling 75

AWS Big Data

APRIL 25, 2023

We have used an AWS Glue job for the ETL pipeline to showcase how you can use purpose-built analytics service for complex ETL needs. About the authors Ramakant Joshi is an AWS Solutions Architect, specializing in the analytics and serverless domain. Step Functions then calls Amazon AppFlow.

Sales 71

Sales Visualization Software Marketing 71

AWS Big Data

APRIL 26, 2024

To enable your workforce users for analytics with fine-grained data access controls and audit data access, you might have to create multiple AWS Identity and Access Management (IAM) roles with different data permissions and map the workforce users to one of those roles.

Analytics 94

Analytics Data Lake Management Enterprise 94

AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

Data Analytics 74

Data Analytics Analytics IoT Data Lake 74

Smart Data Collective

JULY 31, 2022

Predictive analytics technology has become essential for traders looking to find the best investing opportunities. Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Predictive Analytics Helps Traders Deal with Market Uncertainty. Analytics Vidhya, Neptune.AI

Predictive Analytics 135

Predictive Analytics Analytics Uncertainty Forecasting 135

Occam's Razor

OCTOBER 14, 2014

But it is often a million times simpler to create your first set of benchmarks using your own data/performance. 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 (!):

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

Peter James Thomas

JUNE 20, 2019

A decade later, Gartner had some rather sobering thoughts to offer on the same subject: Gartner predicted that through 2008, about 60% of organizations that outsource customer-facing functions will see client defections and hidden costs that outweigh any potential cost savings. And reduced costs aren’t guaranteed […].

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required. It is continuously updated.

Metadata 96

Metadata Modeling Data Processing Unstructured Data 96

IBM Big Data Hub

FEBRUARY 4, 2022

Leveraging rich data to provide value-added services, such as real-time fraud detection, automated reconciliation, etc. Improving reporting and analytics capabilities through financial services transactions. During the financial crisis in 2008, the trust levels of bank clients dipped. Evolution of ISO 20022.

Cost-Benefit 120

Cost-Benefit Machine Learning Reporting Marketing 120

AWS Big Data

APRIL 20, 2023

In a modern data architecture, unified analytics enable you to access the data you need, whether it’s stored in a data lake or a data warehouse. About the Authors Aniket Jiddigoudar is a Big Data Architect on the AWS Glue team. He works with customers to help improve their big data workloads.

Visualization 78

Visualization Data Warehouse Big Data Data Lake 78

AWS Big Data

JUNE 12, 2024

OpenSearch Service is a fully managed, open source search and analytics engine that helps you with ingesting, searching, and analyzing large datasets quickly and efficiently. Harsh Bansal is an Analytics Solutions Architect with Amazon Web Services.

Dashboards 92

Dashboards Visualization Sales IoT 92

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.” That leads to what Andrew Ng has famously called “the virtuous cycle of data.” That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Cloudera

DECEMBER 9, 2021

To accomplish that, the company needed to resolve issues around outdated usage data, limited storage and processing capabilities, siloed operations, and a limited view of customers. . MTN leveraged a data lake powered by the EVA (Enterprise Value Analytics) platform and deployed Cloudera CDP to unify data access across its operations.

Data Lake 86

Data Lake Data-driven Finance Machine Learning 86

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

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. One of the IT buzzwords you must take note of in 2020.

Technology 279

Technology Internet of Things IT IoT 279

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Cloudera

MARCH 18, 2021

FRTB is designed to address some fundamental weaknesses that did not get addressed in the post-2008 financial crisis regulatory reforms. The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk.

Risk 55

Risk Machine Learning Risk Management Measurement 55

Cloudera

JANUARY 3, 2019

This year, we’re making a big one. On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. Each of these trends, of course, depends entirely on data. Our bet in 2008 has proven prescient.

IoT 75

IoT Machine Learning Data Warehouse Enterprise 75

Jim Harris

JULY 13, 2015

The New Heroes of Big Data and Analytics” ); re-read hundreds of stories appearing in the popular press (e.g., “The The Data D. A.” ), at least scanned the (many) new books on big data, data governance, and analytics (e.g., We’re already data-driven. What’s the big deal?”.

Data Quality 56

Data Quality Data-driven Big Data Consulting 56

Alation

AUGUST 5, 2021

Artificial Intelligence (AI) and Machine Learning (ML) As more companies implement Artificial Intelligence and Machine Learning applications to their business intelligence strategies, data users may find it increasingly difficult to keep up with new surges of Big Data. Consistency of data is most often associated with analytics.

Data Quality 52

Data Quality IT Data Governance Sales 52

AWS Big Data

APRIL 28, 2023

This is the second post of a three-part series detailing how Novo Nordisk , a large pharmaceutical enterprise, partnered with AWS Professional Services to build a scalable and secure data and analytics platform. The workflow steps are as follows: A user authenticates on an IdP used by the analytics tool that they are trying to access.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

Domino Data Lab

AUGUST 8, 2019

2008 – Financial crisis : scientists flee Wall St. to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops! Data governance, for the win! Or something. Nothing Spreads Like Fear”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Cloudera

OCTOBER 3, 2018

In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. We believed then, and we still believe today, that the rest of the world would need to capture, store, manage and analyze data at massive scale.

Uncertainty 75

Uncertainty IoT Risk Reporting 75