Cloudera

OCTOBER 26, 2020

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Provided new data is automatically classified and tagged, the right data access rules can be applied based on that data’s characterization.

IT 116

IT Unstructured Data Data-driven Data Governance 116

IBM Big Data Hub

JUNE 20, 2023

Assets are the lifeblood of any successful business—from software programs tailored to meet an enterprise’s unique needs to a pipeline that stretches across oceans. One of the most important strategic decisions a business leader can make is how these assets are cared for over the course of their lifespans.

Strategy 74

Strategy Management Cost-Benefit IoT 74

IBM Big Data Hub

JANUARY 24, 2024

With the seismic shift wrought by generative AI, the pressure is on IT to modernize and optimize to meet the demand. Both options have pros and cons, and the best choice depends on your current and future business needs. This flexibility and efficiency give you the balance needed to meet ever-changing business demands.

Strategy 65

Strategy Data Processing Optimization Software 65

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. The company has previously created a business unit tenant in CDP Public Cloud. Assumptions.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

datapine

AUGUST 19, 2020

At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value. That said, It’s extremely important setting up and tracking the inventory KPIs for your business is in order to evaluate and improve your performance.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Enters data quality management. What Is Data Quality Management (DQM)? Why Do You Need Data Quality Management? Table of Contents.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

DECEMBER 11, 2020

Consider for a moment, just how much 2020 brought about for businesses to deal with. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full? GDPR, CCPA, HIPAA.)

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

erwin

APRIL 2, 2021

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. When an organization knows what data it has, it can define that data’s business purpose.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

IBM Big Data Hub

AUGUST 16, 2023

It is poised to transform businesses and industries, revolutionize how employees and other stakeholders collaborate, and drive digital transformation initiatives. In addition, companies can run up cloud costs because they provision more resources than necessary for their normal business functions.

Cost-Benefit 67

Cost-Benefit Data Processing Optimization Software 67

IBM Big Data Hub

DECEMBER 19, 2023

For many enterprises, the journey to cloud reduces technical debt costs and meets CapEx-to-OpEx objectives. The true essence of value emerges when business and IT can collaborate to create new capabilities at a high speed, resulting in greater developer productivity and speed to market.

Data-driven 69

Data-driven Software Enterprise Testing 69

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. Picture a scenario where you, the VP of Data and Analytics, are in charge of your data and analytics environments and workloads running on AWS where you manage a team of data engineers and analysts.

Reporting 66

Reporting Metrics Optimization Data Lake 66

Alation

FEBRUARY 28, 2023

business users can access trusted data natively in an expanded suite of beloved products, as Alation Connected Sheets now works with Microsoft Excel and Alation Anywhere will work with Microsoft Teams. For this reason, people often struggle to make vital business decisions as they face a complex data landscape.

Contextual Data 52

Contextual Data Metadata Data-driven Visualization 52

Sisense

MARCH 26, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. As they struggle to afloat, the businesses that adapt and learn will succeed and those that don’t will fail. These insights aim to help you and your team navigate these unprecedented times.

Management 91

Management Cost-Benefit Uncertainty Digital Transformation 91

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. This is where data governance comes in: A robust program allows banks and financial institutions to use this data to build customer trust and still meet compliance mandates. Tagging data types. This data also needs to meet quality standards to be trusted.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

AWS Big Data

MAY 4, 2023

Business and technical challenge Encored is expanding their business into multiple countries to provide power trading services for end customers. To meet the growing requirements of the business, the data science and platform team needed to speed up the process of delivering model outputs. northeast-2.amazonaws.com

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

Cloudera

NOVEMBER 12, 2020

Here at Cloudera, we’ve seen many large organizations struggle to meet ever-changing and ever-growing business demands. In addition, costs generated by independent IT projects frequently skyrockets with few controls in place to manage them. A tale of two organizations. We see it everywhere. A solution.

Data Warehouse 101

Data Warehouse Reporting Risk Cost-Benefit 101

IBM Big Data Hub

OCTOBER 16, 2023

ML also helps drive personalized marketing initiatives by identifying the offerings that might meet a specific customer’s interests. Text-based queries are usually handled by chatbots, virtual agents that most businesses provide on their e-commerce sites. Then, it suggests the social media user tag that individual.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Smart Data Collective

MARCH 23, 2022

Artificial intelligence has become a very important component of modern business practices. As the EEOC starts cracking down on companies with websites that violate the ADA, more businesses are using AI to make sure their websites are compliant. The eCommerce business is a numbers game. What is ADA Compliance?

Cost-Benefit 102

Cost-Benefit Data mining Sales Testing 102

erwin

DECEMBER 12, 2019

So most early-stage data governance managers kick off a series of projects to profile data, make inferences about data element structure and format, and store the presumptive metadata in some metadata repository. Managing metadata should not be a sub-goal of data governance. What Is Metadata? Giving Metadata Meaning.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

IBM Big Data Hub

APRIL 18, 2024

Regardless, given the wide range of predictions for AGI’s arrival, anywhere from 2030 to 2050 and beyond, it’s crucial to manage expectations and begin by using the value of current AI applications. While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

erwin

MAY 18, 2022

All data quality scoring is then visibly shared throughout erwin Data Intelligence alongside data catalog metadata, in data lineage, impact analysis, mind maps and inside asset search results for business users. Data quality integration with erwin Data Intelligence will be a game changer for IT, data governance teams and business users alike.

Data Quality 52

Data Quality Metadata Data Governance Software 52

Alation

MARCH 29, 2023

I got to experience the agnostic partner approach where you’re working with folks as an advisor, guiding them to the right decisions based on their history, appetite for risk, business goals, et cetera. They need to manage technology more fluidly. But in my experience, budget is not a roadblock if you can make the right business case.

Data Strategy 52

Data Strategy Strategy Data Governance Sales 52

Cloudera

SEPTEMBER 7, 2018

Early detection is critical to prevent considerable damage arising out of insider threats to the business. This conventional approach also employs a Relational Database Management System (RDBMS) technology, which, however, falls short in meeting current business demands for scalable, flexible and cost-efficient solutions to insider threat.

Machine Learning 49

Machine Learning Risk Unstructured Data Cost-Benefit 49

BizAcuity

MARCH 29, 2019

For the data lake to be more effective, it is better to start with a business problem in mind, stay focused, and solve it and deliver results that can please the people on top. It is not just about data storage but also about data management too. Data should be actively and securely managed. Best practices to build a Data Lake.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

AWS Big Data

APRIL 26, 2023

This is a guest blog post co-written with Corey Johnson from Huron. It helps engineers, analysts and businesses access the most up-to-date release of the software asset that bring accuracy to the decision-making process. To help address its clients’ growing cloud needs, Huron is an AWS Partner.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

JUNE 6, 2023

This is a guest blog post by Mira Daniels and Sean Whitfield from SumUp. SumUp is a leading global financial technology company driven by the purpose of leveling the playing field for small businesses. Business context At SumUp we use GA and Firebase as our digital analytics solutions and AWS as our main Cloud Provider.

Analytics 55

Analytics Data Lake Testing Optimization 55

erwin

DECEMBER 12, 2019

So most early-stage data governance managers kick off a series of projects to profile data, make inferences about data element structure and format, and store the presumptive metadata in some metadata repository. Managing metadata should not be a sub-goal of data governance. What Is Metadata? Giving Metadata Meaning.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

AWS Big Data

MARCH 1, 2024

Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. Amazon Redshift supports industry-leading security with built-in identity management and federation for single sign-on (SSO) along with multi-factor authentication. Other organizations (e.g.,

Data Lake 96

Data Lake Data Warehouse Management Risk 96

Cloudera

SEPTEMBER 23, 2020

Comprehensive auditing is provided to enable enterprises to effectively and efficiently meet their compliance requirements by auditing access and other types of operations across OpDB (through HBase). User, business classification of asset accessed. Permissions include: admin, create, write, read, and execute. Data Catalog .

Data Lake 80

Data Lake Metadata IoT Enterprise 80

Sisense

APRIL 26, 2020

In our modern digital world, proper use of data can play a huge role in a business’s success. In our modern digital world, proper use of data can play a huge role in a business’s success. Companies and businesses focus a lot on data collection in order to make sure they can get valuable insights out of it. Unstructured data.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

AWS Big Data

APRIL 18, 2024

This is a guest blog post co-authored with Atul Khare and Bhupender Panwar from Salesforce. is a cloud-based customer relationship management (CRM) software company building artificial intelligence (AI)-powered business applications that allow businesses to connect with their customers in new and personalized ways.

Optimization 83

Optimization Data Lake Management Key Performance Indicator 83

AWS Big Data

JANUARY 22, 2024

Acast found itself with diverse business units and a vast amount of data generated across the organization. The existing monolith and centralized architecture was struggling to meet the growing demands of data consumers. A key objective was to enhance the end-to-end user experience, starting from the business needs.

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

AWS Big Data

MARCH 9, 2023

Organizations create data marts , which are subsets of the data warehouse and usually oriented for gaining analytical insights specific to a business unit or team. Dimensions provide answers to exploratory business questions by allowing end-users to slice and dice data in a variety of ways using familiar SQL commands.

Slice and Dice 78

Slice and Dice Data Warehouse Metrics Metadata 78

IBM Big Data Hub

SEPTEMBER 12, 2022

At IBM’s recent Chief Data and Technology Officer Summit on data privacy, I spoke with some of the world’s top data leaders about the two-pronged challenge they’re now facing: ensuring that data policies and practices meet regulatory demands, while also continuing to innovate with new technologies. Then intelligent automation begins.

Metadata 96

Metadata Data Governance Enterprise Data Architecture 96

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. A word on managed services. Let’s start with why data lakehouses are becoming increasingly important.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Occam's Razor

FEBRUARY 26, 2008

" Our Senior Management won't let us do that." " Or sometimes " My manager simply does not get it / Analytics / Web / Me / Anything." It is just that we are too low on the totem pole or that our management is ignorant / opinionated / close minded / other things. We have tried but failed.

Management 68

Management Experimentation Testing Strategy 68

IBM Big Data Hub

JANUARY 17, 2023

Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. How do business leaders navigate this new data and AI ecosystem and make their company a data-driven organization? The solution is a data fabric.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57