bridgei2i

SEPTEMBER 23, 2020

Complex business hierarchies, fast changing business scenarios and time-consuming insights require them to be agile and responsive to stay ahead in the game. Bringing in the techno-functional perspective, she handles roadmap, solutioning and delivery of AI accelerators as part of her current responsibilities.

Enterprise 97

Enterprise Unstructured Data Data Lake Digital Transformation 97

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 116

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 116

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

Digital Transformation 94

Digital Transformation Cost-Benefit Informatics Data mining 94

Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” The challenge comes when the data becomes huge and fast-changing.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

SEPTEMBER 21, 2023

They can code, write poetry, draw in any art style, create PowerPoint slides and website mockups, write marketing copy and emails, and find new vulnerabilities in software and plot holes in unpublished novels. Normally, he says, these kinds of reports are refreshed every two years, but this market is moving too quickly for that.

Enterprise 129

Enterprise Consulting Modeling Cost-Benefit 129

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 111

Data Lake Metadata Optimization Statistics 111

CIO Business Intelligence

NOVEMBER 25, 2022

Now Agusti, who began her Carhartt tenure as a senior programmer analyst, is charged with leading the company’s transformation into its next phase, one that is accelerating daily with the barrage of complex technologies changing the global supply chain and business practices, Agusti says.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

CIO Business Intelligence

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Lakehouses redeem the failures of some data lakes.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

CIO Business Intelligence

JUNE 29, 2022

If you’re used to using SQL Server Analysis Services for business intelligence, Analysis Services offers that enterprise-grade analytics engine as a cloud service that you can also connect to Power BI. Azure Data Lake Analytics. The reason Azure has so many analytics services is so you can build your entire stack there.

Data Lake 115

Data Lake Analytics Data Warehouse Machine Learning 115

IBM Big Data Hub

JANUARY 17, 2023

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

BizAcuity

MAY 10, 2022

The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022. Cloud washing is storing data on the cloud for use over the internet. The following timeline shows how the young cloud market blew almost as soon as it hit the markets. This gap sealed the domination of AWS in the market.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Data Management.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

MAY 24, 2022

The survey found the mean number of data sources per organisation to be 400, and more than 20 percent of companies surveyed to be drawing from 1,000 or more data sources to feed business intelligence and analytics systems. Today transactional data is the largest segment, which includes streaming and data flows.

Data-driven 89

Data-driven Data Lake Data Warehouse Cost-Benefit 89

Sisense

MAY 28, 2019

Every decade, like clockwork, the Business Intelligence (BI) industry welcomes the next generation of BI platform providers. And with each passing of the torch, new leaders emerge with the power to disrupt the market. 2019 can best be described as an era of modern cloud data analytics.

Data Analytics 89

Data Analytics Data Lake Analytics Unstructured Data 89

Cloudera

MAY 16, 2018

Let’s start with a $78 million “pump and dump” securities fraud example in which multiple perpetrators conspired to pump up the stock of a little-known coffee company and then dump their own shares on the market, profiting from the artificially inflated price. Market data: Coordinated trading among multiple parties.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? What types of data are collected?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 64

Data Warehouse Data Lake Cost-Benefit Modeling 64

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 66

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 66

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62