datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

JUNE 5, 2019

“It is a capital mistake to theorize before one has data.”– Data is all around us. Data has changed our lives in many ways, helping to improve the processes, initiatives, and innovations of organizations across sectors through the power of insight. Let’s kick things off by asking the question: what is a data dashboard?

Dashboards 316

Dashboards KPI Sales Visualization 316

BizAcuity

JUNE 16, 2022

Previous blogs covered cloud innovations and cloud adoption. Now, to cloud solutions. Popular Cloud Computing Solutions. Cloud solution is a broad topic. Cloud infrastructure, as discussed in the previous blog, is quite vast. Public Cloud Infrastructure. Private Cloud Infrastructure.

Data-driven 52

Data-driven IoT Data Processing Optimization 52

Sisense

OCTOBER 11, 2021

But generations of technological innovation (better data visualizations, cloud analytics, and self-service tools) plus the rise of analytics-focused cultures in workplaces have failed to deliver on the many promises analytics hold; analytics adoption among in-house workforces remains stalled at around 30%.

Analytics 52

Analytics Software Data-driven Strategy 52

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. Users have become increasingly hungry for quicker access to trusted and timely data, and a way to access that data with less reliance on the busy Central Analytics Technology team.

Publishing 54

Publishing Analytics Business Intelligence Operational Reporting 54

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively. What exactly is DataOps ?

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Cloudera

JANUARY 29, 2018

And it is this unwavering passion and commitment that has driven the team to strive for the very best for our customers and partners, and milestones that we have collectively attained since 2015. As we herald in a new year and reflect on 2017, I’d like to thank those who have made 2017 an incredible year.

Informatics 40

Informatics Big Data Data-driven Software 40

IBM Big Data Hub

AUGUST 1, 2023

It is often a reactive process where an incident occurs and the organization provides an incident response as quickly as possible. Organizations’ IT services are increasingly made up of a complex system of applications, software, hardware and other technologies, all of which can be interdependent.

Management 62

Management Key Performance Indicator Software Cost-Benefit 62

AWS Big Data

APRIL 26, 2023

This is a guest blog post co-written with Corey Johnson from Huron. Business intelligence tools by their nature use a paradigm of UI driven development with code-first practices being secondary or nonexistent. To help address its clients’ growing cloud needs, Huron is an AWS Partner.

Metadata 52

Metadata Dashboards Visualization Consulting 52

datapine

MAY 31, 2022

1) What Is Cloud Computing? 2) The Challenges Of Cloud Computing. 3) Cloud Computing Benefits. 4) The Future Of Cloud Computing. Everywhere you turn these days, “the cloud” is being talked about. It is clear that utilizing the cloud is a trend that continues to grow – and will long into the future.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Insight

AUGUST 12, 2019

How to prepare for your DevOps interview Over the past decade, DevOps has emerged as a new tech culture and career that marries the rapid iteration desired by software development with the rock-solid stability of the infrastructure operations team. For a good overview of what DevOps entails and how to transition, check out this blog post.

Software 65

Software Data-driven Testing Interactive 65

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. for nonusers, 6.7%

Enterprise 273

Enterprise Modeling Testing Reporting 273

datapine

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. 1) Artificial Intelligence.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 83

Data-driven Advertising Metadata Data Architecture 83

Alation

JULY 28, 2022

The cloud is no longer synonymous with risk. There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. But today, there is a magic quadrant for cloud databases and warehouses comprising more than 20 vendors.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

datapine

SEPTEMBER 4, 2019

Exclusive Bonus Content: Download Data Implementation Tips! It helps managers and employees to keep track of the company’s KPIs and utilizes business intelligence to help companies make data-driven decisions. Organizations can also further utilize the data to define metrics and set goals. Digital age needs digital data.

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

IBM Big Data Hub

MAY 31, 2023

Multiple factors must be considered, such as your industry, the type and usage of the asset, how expensive it is to replace, how much of the right kind of data you have, and how much impact failure would have on your business and customers. The decision isn’t simple.

Cost-Benefit 98

Cost-Benefit Strategy IoT Internet of Things 98

Alation

JANUARY 13, 2022

And now, arguably the greatest rivalry the world (well, at least the data community) has ever witnessed: Data Fabric vs Data Mesh! Data fabric and data mesh are both having a moment. Gartner calls data fabric the Future of Data Management 1. Gartner on Data Fabric. Thoughtworks on Data Mesh.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy. Data is susceptible to breach due to a number of reasons.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy. Data is susceptible to breach due to a number of reasons.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Sisense

JUNE 26, 2020

The human brain processes visual data better than any other kind of data, which is good because about 90% of the information our brains process is visual. The brain processes data in visuals or images faster than data in text or rows of numbers. What are data visualizations? The good news is, you don’t have to!

Visualization 97

Visualization Unstructured Data Measurement Data-driven 97

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Sisense

MARCH 17, 2021

But the data suggests a significant gap between these aspirations and the reality. According to the research , the majority of companies acknowledge the strategic importance of data analytics, but they aren’t making analytics widely accessible or easy to use for their workers. Their aspirations for the technology are lofty.

Analytics 97

Analytics Data-driven Visualization KPI 97

datapine

NOVEMBER 27, 2019

Data exploded and became big. We all gained access to the cloud. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” These questions are: Who is using what data?

Metadata 64

Metadata Data Governance Dashboards Software 64