CIO Business Intelligence

SEPTEMBER 20, 2023

But the more challenging work is in making our processes as efficient as possible so we capture the right data in our desire to become a more data-driven business. If your processes aren’t efficient, you’ll capture the wrong data, and you wind up with the wrong insights. How are you populating your data lake?

Data Lake 125

Data Lake Data-driven Dashboards Risk 125

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 80

Data Lake Data Governance Data Architecture Machine Learning 80

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

Ontotext

FEBRUARY 12, 2024

Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Enterprises should identify and adopt specific data mesh elements to achieve velocity.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

TDAN

OCTOBER 5, 2021

For most organizations, the process of becoming more data-driven starts with better understanding and using their own data. But internal data is just the tip of the iceberg. Underneath the surface of the (data) lake is the untapped value of external data, which has given rise to the data marketplace.

Data Lake 59

Data Lake Data-driven Data Strategy Data Governance 59

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Ontotext

NOVEMBER 16, 2023

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy. The debate on what constitutes a data mesh rages on.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data Lake 79

Data Lake Data Architecture Data-driven Data Warehouse 79

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. What are some examples of data solutions in each of those buckets?

Manufacturing 92

Manufacturing Data Architecture Strategy Data Strategy 92

AWS Big Data

JANUARY 30, 2023

Many customers need an ACID transaction (atomic, consistent, isolated, durable) data lake that can log change data capture (CDC) from operational data sources. There is also demand for merging real-time data into batch data. Delta Lake framework provides these two capabilities.

Insurance 77

Insurance Data Lake Data-driven Management 77

Andrew White

OCTOBER 23, 2019

Focus was getting started with a business-driven D&A governance program in an extremely complex organization with many leaders overlapping jurisdiction. 5.10pm Rush back over to the 1-1 area for final 1-1 today… Here is a summary of my 1-1’s today (including Monday’s data): Topic: Data Governance 14.

Data Lake 49

Data Lake IT Data-driven Insurance 49

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Some use case examples will help.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

Alation

FEBRUARY 13, 2020

Today, we’re announcing that Alation has closed a $50 million Series C funding led by Sapphire Ventures, with participation from new investor Salesforce Ventures and our existing investors Costanoa Ventures, DCVC (Data Collective), Harmony Partners and Icon Ventures. And, the data catalog market has had a year of incredible growth.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

Andrew White

OCTOBER 24, 2019

Here is my update analysis on my 1-1’s and interactions so far: Topic: Data Governance 24. Vision/Data Driven/Outcomes 28. Modern) Master Data Management 16. Data lake 4. Data Literacy 4. Emerging D&A Governance Platform 1. Data Management platform 7. AI/Innovation 3.

Recreation/Entertainment 49

Recreation/Entertainment IT Data Lake Insurance 49

Octopai

MAY 30, 2019

If the point of Business Intelligence (BI) data governance is to leverage your datasets to support information transparency and decision-making, then it’s fair to say that the data catalog is key for your BI strategy. At least, as far as data analysis is concerned. The Benefits of Structured Data Catalogs.

Metadata 40

Metadata Data Governance Data Lake IoT 40

Alation

OCTOBER 21, 2021

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. I’ll take the lake, thank you very much. And so will your data. Benefits of a Data Lake.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Andrew White

OCTOBER 25, 2019

4 times this week I was exploring best practices about data and analytics governance and the folks I was speaking with lept ahead to a more advanced question. Already ‘data and analytics’ might be passé. What is the business driven, data-infused, story-line for D&A beyond AI? Vision/Data Driven/Outcomes 28.

Recreation/Entertainment 40

Recreation/Entertainment IT Data Lake Data-driven 40

Alation

MARCH 22, 2022

Data people face a challenge. They must put high-quality data into the hands of users as efficiently as possible. As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. It synthesizes all we’ve learned about agile, data quality , and ETL/ELT.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 85

Data Lake Data Warehouse Marketing Management 85

IBM Big Data Hub

JULY 7, 2023

Threats to your data are virtually everywhere these days, and too often, data compromises seem almost inevitable. But with a proactive approach to data security, organizations can fight back against the seemingly endless waves of threats. Data breaches can be disastrous for organizations.

Risk 40

Risk Data Governance Data Lake Data-driven 40

Cloudera

AUGUST 4, 2021

With hackers now working overtime to expose business data or implant ransomware processes, data security is largely IT managers’ top priority. And if data security tops IT concerns, data governance should be their second priority. Effective data governance must extend beyond the IT organization.

Data Governance 83

Data Governance Metadata Data-driven Enterprise 83

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. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

DataKitchen

DECEMBER 7, 2021

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 89

Data-driven Data Lake Data Warehouse Cost-Benefit 89

Alation

FEBRUARY 13, 2020

In a recent blog, titled Collaboration and Crowdsourcing with Data Cataloging , I discussed the importance of participation by all data stakeholders as a key to getting maximum value from your data catalog. Figure 1 – Data Catalog Implementation. See figure 1.) See figure 2.)

Metadata 52

Metadata Data Governance Cost-Benefit Visualization 52

Peter James Thomas

AUGUST 29, 2018

Today I am talking to Christopher Bannocks , who is Group Chief Data Officer at ING. As stressed in other recent In-depth interviews [1] , data is a critical asset in banking and related activities, so Christopher’s role is a pivotal one. 2] I was asked to help solve the data problem.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

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

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. Govern data access across organizational boundaries.

Metadata 98

Metadata Data Lake Publishing Data Governance 98

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. The third post will show how end-users can consume data from their tool of choice, without compromising data governance.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

Cloudera

MAY 9, 2023

The company also provides a variety of solutions for enterprises, including data centers, cloud, security, global, artificial intelligence (AI), IoT, and digital marketing services. Supporting Data Access to Achieve Data-Driven Innovation Due to the spread of COVID-19, demand for digital services has increased at SoftBank.

Data Lake 88

Data Lake IoT Data Governance Data Strategy 88

AWS Big Data

JULY 13, 2023

Altron is a pioneer of providing data-driven solutions for their customers by combining technical expertise with in-depth customer understanding to provide highly differentiated technology solutions. This is a guest post co-authored by Jacques Steyn, Senior Manager Professional Services at Altron Group.

Optimization 89

Optimization B2B Data Quality Sales 89

AWS Big Data

MARCH 27, 2023

Data lakes have come a long way, and there’s been tremendous innovation in this space. Today’s modern data lakes are cloud native, work with multiple data types, and make this data easily available to diverse stakeholders across the business.

Data Lake 83

Data Lake Data-driven Management Data Architecture 83

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

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 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52