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. Dispelling 3 Common SaaS Myths.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

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

JULY 1, 2020

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former executive, president, HP. Digital data is all around us. quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes. click to enlarge**.

Reporting 260

Reporting Dashboards Cost-Benefit Visualization 260

datapine

FEBRUARY 22, 2022

4) How To Create A Business Intelligence Strategy. Over the past 5 years, big data and BI became more than just data science buzzwords. In response to this increasing need for data analytics, business intelligence software has flooded the market. Table of Contents. 1) What Is A Business Intelligence Strategy?

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

DataKitchen

MAY 10, 2021

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . Beginners: Ensure that your methodology, governance, and operations processes are agile and adaptive. . Blog: What is DataOps ? Forrester recommends: .

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1 shows the four phases of Lean DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

Domino Data Lab

AUGUST 6, 2021

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards. What Is Model Governance?

Machine Learning 145

Machine Learning Modeling Testing Data Science 145

erwin

DECEMBER 19, 2019

Data has been the driving force of the decade. Many organizations have tried and failed to become truly “data-driven,” and many organizations will continue to do so. Many organizations have tried and failed to become truly “data-driven,” and many organizations will continue to do so.

Metadata 75

Metadata Data Governance Management Digital Transformation 75

DataKitchen

MAY 10, 2021

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. 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.

Testing 214

Testing Manufacturing Data Quality Statistics 214

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

erwin

JULY 22, 2020

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. As an example, E.ON

Data-driven 136

Data-driven Data Governance Digital Transformation Data Processing 136

erwin

NOVEMBER 28, 2019

In the era of data-driven business, such perspective is critical. As the IEAI’s definition indicates, enterprise architecture tools are key drivers in ensuring such alignment because they help organizations understand their systems, applications and assets from a holistic, top-down perspective. Retain organizational knowledge.

Enterprise 145

Enterprise Data-driven Data Governance Metadata 145

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

Smart Data Collective

NOVEMBER 12, 2020

In an age where data plays a fundamental role in every aspect of our lives, it’s relatively simple to find the answers that we need. You can conduct a Google query and you’ll quickly find thousands of helpful webpages, YouTube videos, and blogs dealing with the issue. Big Data Raises the Bar for Technical Support. Convenience.

Big Data 142

Big Data Consulting Data-driven Cost-Benefit 142

Anmut

JANUARY 30, 2025

If quality is free, why isn't data? Originally applied to manufacturing, this principle holds profound relevance in today’s data-driven world. They made us realise that building systems, processes and procedures to ensure quality is built in at the outset is far more cost effective than correcting mistakes once made.

Data Quality 52

Data Quality Cost-Benefit Statistics Data-driven 52

DataKitchen

AUGUST 16, 2024

As the pioneer in the DataOps category, we are proud to have laid the groundwork for what has become an essential approach to managing data operations in today’s fast-paced business environment. At DataKitchen, we think of this is a ‘meta-orchestration’ of the code and tools acting upon the data.

Marketing 126

Marketing Data Quality Testing Metadata 126

Cloudera

SEPTEMBER 14, 2020

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Fundamental principles to be successful with Cloud data management. Or so they all claim.

Management 111

Management Cost-Benefit Manufacturing Machine Learning 111

DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. We find it helpful to think of data operations as a factory. We find it helpful to think of data operations as a factory. Most organizations run the data factory using manual labor. Figure 1: Ford assembly line, 1913.

Testing 154

Testing Dashboards Measurement Experimentation 154

erwin

NOVEMBER 13, 2020

However, even in “normal times,” business leaders need to understand how to grow, bring new products to market through organic growth or acquisition, identify new trends and opportunities, determine if new opportunities provide a return on investment, etc. Data Security & Risk Management. Knowledge Improvement and Retention.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction. What should I track?

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Smart Data Collective

FEBRUARY 20, 2022

Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company. With over 200 fully functional services from data centers worldwide, Amazon Web Services (AWS) stands as the world’s most comprehensive and widely adopted cloud platform. Data storage databases.

Cost-Benefit 138

Cost-Benefit Data Lake Software Machine Learning 138

CIO Business Intelligence

JULY 10, 2024

In today’s rapidly, and continually, evolving data landscape, maintaining the sovereignty and security of sensitive data is paramount. It has never been a more important time to make sure that data and metadata remain protected, resident within local jurisdiction, compliant, under local control, and accessible yet portable.

Metadata 98

Metadata Data-driven Marketing Measurement 98

Smart Data Collective

OCTOBER 25, 2020

Machine learning and other big data technology has played an important role in the direction of the market. This blog discusses cryptocurrency transactions and whether or not they’re secure. Experts and governments have mentioned that cryptos are ideal ways of carrying out illegal activities. Can they be traced?

Machine Learning 145

Machine Learning Big Data Publishing Technology 145

Alation

JULY 19, 2021

Metadata is information about data. Folks who work closely with data, like analysts, data scientists, and IT teams, rely on metadata to give them crucial context for how to use a given asset. Today, metadata is extremely helpful in classifying, describing, and providing critical information about digital data.

Metadata 105

Metadata Management Data Governance Machine Learning 105

Cloudera

DECEMBER 20, 2021

The right set of tools helps businesses utilize data to drive insights and value. But balancing a strong layer of security and governance with easy access to data for all users is no easy task. Founded in 1874, the bank was one of the pioneers in digital transformation a decade ago and is continuing on this journey today. .

Metadata 91

Metadata Data-driven Cost-Benefit Digital Transformation 91

CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

DataKitchen

JUNE 7, 2021

This is a common question that we hear from our conversations with data scientists, engineers and analysts. How can one get started given these limitations? Hopefully, with metrics in place, you can show measured improvements in productivity and quality that will win converts. What can you do? DataOps Objectives.

Testing 130

Testing IT Data-driven Measurement 130

Smart Data Collective

JULY 7, 2022

As the legal tender status of Bitcoin continues to be debated in different jurisdictions, the International Monetary Fund (IMF) has come out in support of the cryptocurrency. ” The IMF has also been working closely with central banks around the world to ensure that Bitcoin is properly regulated. .”

Cost-Benefit 126

Cost-Benefit Finance Risk Technology 126

Cloudera

DECEMBER 19, 2023

Earlier this month, I had the opportunity to lead a roundtable discussion at the PSN Government Innovation show ( 2023 Government Innovation Show – Federal – Public Sector Network ) in Washington, DC. Without a doubt, 2023 has shaped up to be generative AI’s breakout year. The underlying reason?

Optimization 91

Optimization Cost-Benefit Unstructured Data Risk 91

IBM Big Data Hub

FEBRUARY 28, 2024

At the end of 2023, a survey conducted by the IBM® Institute for Business Value (IBV) found that respondents believe government leaders often overestimate the public’s trust in them. However, the most recent IBV research indicates trust in governments among constituents is in decline.

Risk 97

Risk Technology Consulting Modeling 97

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” How do you scale an organization without hiring an army of hard-to-find data engineering talent? Data team morale is consistent with DataKitchen’s own research. It’s not been going well.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

erwin

MARCH 5, 2020

Most organizations are beginning to realize that to drive business growth and maintain a competitive advantage, innovation needs to be uncovered, documented and socialized rapidly but with care to ensure maximum value. How Enterprise Architecture Guides Innovation and Transformation.

Digital Transformation 133

Digital Transformation Enterprise Management Modeling 133

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Deep Learning Risk 119

erwin

DECEMBER 13, 2018

This past year witnessed a data governance awakening – or as the Wall Street Journal called it, a “global data governance reckoning.” There was tremendous data drama and resulting trauma – from Facebook to Equifax and from Yahoo to Marriott. So what’s on the horizon for data governance in the year ahead?

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

DataRobot Blog

JUNE 1, 2022

Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., DataRobot AIX has purpose-built content for business leads, data scientists, and IT leaders. views AI as a strategic business asset.

Machine Learning 119

Machine Learning Data-driven Risk Management Risk 119

Alation

MAY 27, 2021

For data-driven enterprises, data governance is no longer an option; it’s a necessity. Businesses are growing more dependent on data governance to manage data policies, compliance, and quality. For these reasons, a business’ data governance approach is essential. Data Democratization.

Data Governance 98

Data Governance Data Quality Enterprise Machine Learning 98