bridgei2i

MARCH 11, 2021

How Can Small Businesses Benefit from an AI Data Company? We all know how Artificial Intelligence helps giants like Google and Amazon reshape their commercial techniques and business strategies. Easily understandable, highly curated, and reliable data helps Machine Learning (ML) tools evolve. What is a Data Governance Strategy?

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

FineReport

MARCH 24, 2024

Data Analyst Job Description: Major Tasks and Duties Data analysts collaborate with management to prioritize information needs, collect and interpret business-critical data, and report findings. Certified Analytics Professional (CAP) , providing advanced insights into converting data into actionable insights.

Statistics 52

Statistics Data mining Visualization Reporting 52

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. This is why data also needs to be compliant.

Data Governance 52

Data Governance Strategy Data Quality Marketing 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

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance.

Snapshot 93

Snapshot Data Lake Testing Strategy 93

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. This is aligned to the five pillars we discuss in this post.

Data Strategy 76

Data Strategy Strategy Data Warehouse Prescriptive Analytics 76

BizAcuity

MARCH 1, 2019

At the backend, based on the data collected, data is stored in data lakes. Such data is collected from hundreds, thousands and millions of users. Then AI/ML algorithms are run on this collected data. The key is to find meaningful insights in data that can be actionable.

IoT 56

IoT Internet of Things Big Data Data-driven 56

CIO Business Intelligence

OCTOBER 30, 2024

Some are large, spread over more than two square miles, and they run on manual processes that require significant time on data entry and data collection across several non-integrated systems. All the equipment at the plants, including the P&IDs and drawings, are contextualized in this data lake.

Digital Transformation 62

Digital Transformation Manufacturing IT Data Lake 62

Cloudera

MAY 9, 2023

New Data Lakehouse Enables Stronger Data Governance SoftBank needed to reduce the number of workloads on its existing platform and decided to adopt Cloudera to build a data lake capable of managing data more effectively. We believe these new data analysis capabilities will boost what we can offer to our customers.”

Data Lake 95

Data Lake IoT Data Governance Data Strategy 95

CIO Business Intelligence

JANUARY 30, 2024

The job is so large that Allianz Technology CTO Gülay Stelzmüllner, then CIO, hired Karcher in October 2022 to develop the company’s ESG reporting strategy because she didn’t have enough time to strategize for it herself, given her ongoing CIO duties. “There are several things you need to report attached to that number.”

Reporting 113

Reporting Data Quality Strategy Data-driven 113

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Alation

MAY 16, 2023

Sources can include analytics data regarding user behavior, transactional data from ecommerce websites, and third-party data from other organizations. It’s worth noting that a data pipeline may have more than one data source. Ingestion tools are connected to various data sources.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

Cloudera

JANUARY 21, 2021

In one institution we recently spoke with, they told us it took them over 30 weeks to procure and deploy a new data warehouse, while with CDW they got everything up and running in just a few seconds (after, of course, a few days obtaining the data migration and policy clearances involved). . Central control of security and governance.

Data Warehouse 96

Data Warehouse Data Lake IT Analytics 96

Alation

MAY 16, 2023

Sources can include analytics data regarding user behavior, transactional data from ecommerce websites, and third-party data from other organizations. It’s worth noting that a data pipeline may have more than one data source. Ingestion tools are connected to various data sources.

Data Lake 40

Data Lake Data Governance Data Warehouse Data Processing 40

CIO Business Intelligence

SEPTEMBER 22, 2023

The term “data management platform” can be confusing because, while it sounds like a generalized product that works with all forms of data as part of generalized data management strategies, the term has been more narrowly defined of late as one targeted to marketing departments’ needs. Of course, marketing also works.

Management 104

Management Advertising Data Lake Sales 104

Cloudera

JUNE 6, 2019

While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake. Now the admins need to synchronize multiple copies of the data and metadata and ensure that users across the many clusters are not viewing stale information.

Metadata 89

Metadata Data Lake Optimization Strategy 89

AWS Big Data

FEBRUARY 21, 2023

We dive deep into a hybrid approach that aims to circumvent the issues posed by these two and also provide recommendations to take advantage of this approach for healthcare data warehouses using Amazon Redshift. What is a dimensional data model? It optimizes the database for faster data retrieval. What is a hybrid model?

Data Warehouse 70

Data Warehouse Data Lake Cost-Benefit Metadata 70

Cloudera

SEPTEMBER 8, 2021

CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade. Our upcoming webinar is centered on how an integrated data platform supports the data strategy and goals of becoming a data-driven company.

Data Lake 82

Data Lake Enterprise Data-driven Data Strategy 82

Cloudera

AUGUST 4, 2021

Data governance used to be considered a “nice to have” function within an enterprise, but it didn’t receive serious attention until the sheer volume of business and personal data started taking off with the introduction of smartphones in the mid-2000s. This all requires a proactive governance strategy.

Data Governance 91

Data Governance Metadata Data-driven Enterprise 91

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Ensure value with visualizations.

Unstructured Data 128

Unstructured Data Data-driven Visualization Data Quality 128

Jedox

JANUARY 19, 2023

IBP solutions, such as Jedox, do this by automating data collection and integrating it into one platform. Every user can respond in real time, knowing the latest strategies and market forces coming into play. Doing that creates a culture of decisiveness, confidence, and performance.

IT 88

IT Forecasting Data Lake Marketing 88

CIO Business Intelligence

JUNE 7, 2023

Like the NFL, the NBA CTO opted to partner with Microsoft to leverage its Azure cloud platform, which Bhagavathula says contained all the digital components necessary to build the association’s streaming platform, while providing a cloud data lake and machine learning models the NBA could capitalize on for next-generation applications.

Digital Transformation 52

Digital Transformation Recreation/Entertainment Machine Learning Data Lake 52

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. CDF can do this within a common framework that offers unified security, governance and management.

IoT 74

IoT Prescriptive Analytics Internet of Things Digital Transformation 74

datapine

AUGUST 29, 2022

The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz. Stein Kretsinger, founding executive, Advertising.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. Digital Transformation Strategy: Smarter Data.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Alation

AUGUST 2, 2022

When creating a customer-centric strategy and culture, every step of business development should include a focus on the customer. Define your products, services, and strategies from customers who gain the most value from what you offer and who return that value to your business. So how do you become customer centric? Customer Centric.

Metrics 52

Metrics Cost-Benefit Strategy Data Lake 52

Alation

FEBRUARY 17, 2023

This is because you will know what data you can trust, and you will have processes to create and upkeep data, as well as curated metadata to exploit data’s full capabilities. Many organizations are made up of disparate companies; how can such large entities migrate changes in data definitions across the organization?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52