AWS Big Data

MARCH 12, 2024

Using best practices learned from the AWS FinHack program, we fine-tuned resource-intensive jobs, converted Pig and Hive jobs to Spark, and reduced our batch workload spend by 22.75% in 2022. This is a guest post co-written with Brandon Abear, Dinesh Sharma, John Bush, and Ozcan IIikhan from GoDaddy.

Cost-Benefit 88

Cost-Benefit Optimization Big Data Metrics 88

CIO Business Intelligence

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

CIO Business Intelligence

APRIL 29, 2022

True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes. A recent report by Enterprise Strategy Group, commissioned by Hewlett Packard Enterprise, explains why data-first thinking matters: because they move faster than their competitors.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

AWS Big Data

AUGUST 9, 2023

The advent of rapid adoption of serverless data lake architectures—with ever-growing datasets that need to be ingested from a variety of sources, followed by complex data transformation and machine learning (ML) pipelines—can present a challenge.

Data Lake 84

Data Lake Metrics Testing Cost-Benefit 84

Ontotext

FEBRUARY 1, 2024

This simple step-change separated the identifier for each concept from its lexical labels. Not only are these ontologies capable of representing any domain of knowledge, but the structure of the data model is also transparent and intelligible to both humans and machines. I think it’s fair to say that LLMs dominated the discussions.

Enterprise 59

Enterprise Management Metadata Modeling 59

IBM Big Data Hub

APRIL 24, 2024

As generative AI applications become increasingly ingrained in enterprise IT environments, organizations must find ways to combat this pernicious cyberattack. Large language models (LLMs) may be the biggest technological breakthrough of the decade. Hackers can use the compromised LLM to steal sensitive data, spread misinformation, or worse.

Risk 91

Risk Modeling Measurement Enterprise 91

CIO Business Intelligence

MARCH 12, 2022

Those that succeed in achieving high employee retention rates operate at an advantage both in meeting business goals and in recruiting new hires. IT departments in particular have been ramping up efforts to retain valuable employees in the face of ongoing talent gap issues, according to CIOs and enterprise hiring managers.

Strategy 128

Strategy Cost-Benefit Management Enterprise 128

CIO Business Intelligence

APRIL 19, 2022

Equally so, the massive trove of business-specific data is still a distant reality as technology vendors leapfrog to the next best phrase, featuring hyper-automation and an extremely efficient and very flexible autonomous enterprise. . In many cases, the outcomes are limited to efficiency. DNA matters.

Digital Transformation 111

Digital Transformation Insurance ROI Business Objectives 111

datapine

MARCH 31, 2022

2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started? Table of Contents. 1) Why Shift To A BI Career? 4) Business Intelligence Job Roles. 5) Main Challenges Of A BI Career. 6) Main Players In The BI Industry. Does data excite, inspire, or even amaze you? The BI industry is expected to soar to a value of $26.50

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Cloudera

OCTOBER 30, 2023

The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. According to the Flexera 2023 survey 1 , 82 percent of enterprises and SMBs pointed to cost management as the main challenge they are trying to overcome.

Analytics 80

Analytics Cost-Benefit ROI Business Objectives 80

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Sisense

MARCH 26, 2021

And less than a quarter (24%) of respondents rate their organization’s effectiveness in using analyzed data above seven on a 10-point scale.” But there’s a gap between expectations and reality, and companies are falling short of their aspirations. “39% Only 23% can. 30% want to be more innovative. Only 14% are.”

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

FineReport

MARCH 24, 2024

In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making. Their responsibilities encompass data analysis, requisite skills, career trajectories, and qualifications. Given the critical role they play, employers actively seek data analysts to enhance efficiency and stimulate growth.

Statistics 52

Statistics Data mining Visualization Reporting 52

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 98

Data Lake Metadata Snapshot Recreation/Entertainment 98

Alation

FEBRUARY 2, 2023

What skills do they possess that make them successful? This post will unpack the top 7 traits that successful data product managers have in common. Successful Data Product Managers Know Their Data and Analytics If a product data manager wants to excel in their field, they must analyze data and analytics effectively.

Management 52

Management Data-driven Visualization Strategy 52

Alation

JANUARY 26, 2023

That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. What’s worse, just 3% of the data in a business enterprise meets quality standards. By contrast, employees in leading firms waste just 5-10% of their time on such tasks.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Cloudera

FEBRUARY 7, 2019

As such, ATB Financial realized the need to build an enterprise data delivery platform that would enable transparent data ownership for trusted, structured, organized and centralized data operations. As part of the collaborative effort across both organizations, the first step was to build out a fraud detection and alert system.

Big Data 67

Big Data Data Analytics Analytics Data Architecture 67

Jet Global

SEPTEMBER 29, 2021

They use data and software with machine learning (artificial intelligence) to model and compare ‘what-if’ scenarios to grow the business. Data-driven Finance leaders are only as successful as the teams supporting them. 10 Ways to Make Your Team More Data-Driven. How Finance Leaders Use Data to Support Decision-Making.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

AWS Big Data

JULY 6, 2023

With AWS Step Functions , you can launch parallel runs of Lambda functions. With AWS Step Functions , you can launch parallel runs of Lambda functions. Solution overview To achieve our goal, we use parallel Lambda functions. We use Step Functions to launch the parallel processing of the 365 days of the year 2018.

Machine Learning 125

Machine Learning Visualization IoT Digital Transformation 125

O'Reilly on Data

FEBRUARY 11, 2020

Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. The top-line good news is that people at all levels of the enterprise seem to be alert to the importance of data quality. We suspected that data quality was a topic brimming with interest.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

O'Reilly on Data

FEBRUARY 20, 2024

led to GPT-4 and multimodal GPT-4V, and OpenAI has announced an Enterprise service with better guarantees for security and privacy. Last August, OpenAI stated that 80% of Fortune 500 companies have ChatGPT accounts. Interest and usage have increased as OpenAI has released more capable versions of its language model: GPT-3.5

Insurance 182

Insurance Modeling Technology Reporting 182

Cloudera

AUGUST 21, 2020

These successful Big Data platforms draw from a large number of open-source projects and commercial software components designed for zettabyte scale, then configured into secure, reliable operations that typically run on highly sensitive or regulated data. What about hybrid? What about multi-cloud? .

Cost-Benefit 76

Cost-Benefit Big Data ROI Risk 76

Decision Management Solutions

MAY 24, 2021

All too often, teams start with data, determine what kind of machines learning (ML)/AI insights they can generate, and then go off to find someone in the business who can benefit from it. Lots of successful AI pilots that can’t make it into production, and they don’t end up providing viable and positive business outcomes.

IT 40

IT Machine Learning Data-driven Management 40

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. This is a guest post co-written with Jonatan Selsing and Moses Arthur from Novo Nordisk.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

Sisense

MAY 11, 2021

According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Working the (data modeling) process.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Sisense

AUGUST 16, 2021

The 2021 Dresner Wisdom of Crowds Report saw a quarter of respondents rate cloud technology as critical to their company’s mission (with only about 10% rating it not important). That place is the cloud. It will also scale as the company grows and adapt easily if the company decides to change cloud solutions. AI can help with that!

Data Warehouse 52

Data Warehouse Analytics Cost-Benefit Visualization 52

Juice Analytics

MAY 6, 2021

It emphasizes features such as human-friendly visualizations, integration of text and visuals, narrative flow, connected stories, easy-to-learn authoring, and effortless sharing. This platform targets enterprise buyers and has a unique approach to presenting data stories. Cost : Free plan (up to 3 users). Cost : Not available.

Visualization 77

Visualization Dashboards Business Intelligence Reporting 77

AWS Big Data

NOVEMBER 13, 2023

We are raising the bar this year on learning while having fun! Join us at the Analytics kiosk to learn more about which AWS Analytics Superhero you are and receive superhero SWAG! 28 | 8:30 AM – 10:30 AM (PDT) Join Adam Selipsky, CEO of Amazon Web Services, as he shares his perspective on cloud transformation.

Analytics 109

Analytics Data Lake Data Warehouse Data-driven 109

CIO Business Intelligence

FEBRUARY 14, 2024

Alongside this AI buzz is the exponential data growth within every enterprise; studies show that global data creation is projected to grow to more than 180 zettabytes by 2025. In fact, nearly nine in 10 (86%) say AI is already impacting what their organizations can achieve.

Data-driven 72

Data-driven Uncertainty Enterprise Business Objectives 72

CIO Business Intelligence

NOVEMBER 30, 2023

Grady’s leadership team at healthcare diagnostics and software maker IDEXX had already been talking about introducing a more robust change management discipline within the enterprise IT function, and seeing what was possible when everyone was on board with transformational change kicked those efforts into higher gear.

Management 133

Management IT Digital Transformation Measurement 133

IBM Big Data Hub

AUGUST 15, 2023

Diving deeper, the potential of AI systems is also challenging us to go beyond these tools and think bigger: How will the application of AI and machine learning models advance big-picture, strategic business goals? Artificial intelligence (AI) adoption is here. This advancement does not come without its challenges.

IT 80

IT Data Governance Modeling Cost-Benefit 80

datapine

DECEMBER 4, 2019

Prescriptive analytics takes the next step but also analyzes and includes action. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. The commercial use of predictive analytics is a relatively new thing. Approaches need to take this dynamic nature into mind.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

FineReport

MARCH 31, 2024

Furthermore, these tools boast customization options, allowing users to tailor data sources to address areas critical to their business success, thereby generating actionable insights and customizable reports. What Are the Best BI Tools? Why is Choosing the Best BI Tools Important?

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

JULY 19, 2023

It’s important to note that citizen developer benefits are focused on productivity gains rather than the misconception that an enterprise could reduce their expenditure because they think they won’t need as many expensive professional developers,” says Adrian Leow, vice president and analyst at research firm Gartner.

Software 98

Software Data-driven Cost-Benefit Machine Learning 98

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. It will show you how to select the right solution and what investments are required for success. Introduction Why should I read the definitive guide to embedded analytics? intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52