AWS Big Data

FEBRUARY 29, 2024

To provide a response that includes the enterprise context, each user prompt needs to be augmented with a combination of insights from structured data from the data warehouse and unstructured data from the enterprise data lake. Implement data privacy policies. Implement data quality by data type and source.

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

CIO Business Intelligence

MAY 24, 2022

Some of the accelerators included as part of the new platform are integrations with Salesforce, NPI data, National Patient Account Services, Workday, Oracle Fusion HCM Cloud, Orange HRM, Salesforce Health Cloud, MedPro, healthcare-focused cloud company Veeva, and HR vendor UltiPro. Analytics for faster decision making.

Finance 131

Finance Management Metadata Data Quality 131

AWS Big Data

APRIL 4, 2024

Griffin is an open source data quality solution for big data, which supports both batch and streaming mode. In today’s data-driven landscape, where organizations deal with petabytes of data, the need for automated data validation frameworks has become increasingly critical.

Data Quality 62

Data Quality Data Lake Data Warehouse Data-driven 62

CIO Business Intelligence

MAY 21, 2024

Defining a strategic relationship In July 2023, Dener Motorsport began working with Microsoft Fabric to get at that data in real-time, specifically Fabric components Synapse Real-Time Analytics for data streaming analysis, and Data Activator to monitor and trigger actions in real-time.

Broadcasting 102

Broadcasting Recreation/Entertainment Manufacturing Data Lake 102

Timo Elliott

DECEMBER 14, 2022

SAP BTP brings together data and analytics, artificial intelligence, application development, automation, and integration in one, unified environment. You lose the roots: the metadata, the hierarchies, the security, the business context of the data. The analysts call this a data mesh or data fabric strategy.

Data Lake 105

Data Lake Recreation/Entertainment Metadata Data Warehouse 105

Ontotext

MAY 2, 2024

Data leaders today are faced with an almost impossible challenge. Particularly those on the “the create side of the house” who are tasked to deliver insights and analytics. Such inconsistencies bring lowered trust in the outcomes analytics and insights leaders try to get.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. Overall, DataOps is an essential component of modern data-driven organizations. Query> DataOps.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

DataKitchen

NOVEMBER 18, 2022

In addition to the tracking of relationships and quality metrics, DataOps Observability journeys allow users to establish baselines?concrete concrete expectations for run schedules, run durations, data quality, and upstream and downstream dependencies. And she’ll know when newer data will arrive.

Testing 130

Testing Statistics Measurement Metrics 130

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Metadata Data Quality Data Governance 52

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

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

AWS Big Data

JUNE 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 75

Data Quality Data Lake Data-driven Metrics 75

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. In our opinion, both terms, agile BI and agile analytics, are interchangeable and mean the same. Try our business intelligence software for 14 days, completely free! What Is Agile Analytics And BI?

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Alation

NOVEMBER 2, 2022

This leading software investment firm has partnered with the who’s-who of data-centric companies, including Qlik and Starburst, to help them drive sustainable, long-term growth. It also helped that other analytics companies in Thoma Bravo’s portfolio echoed that positive feedback. Tre Sayle of Thoma Bravo. But why invest now?

Data Governance 98

Data Governance Marketing Finance Data Lake 98

Alation

JUNE 14, 2021

Dan Kirsch, Analyst, Hurwitz Associates, agrees that CISOs must take responsibility, when he says that “data protection is absolutely part of the CISO’s job. For this reason, smart CISOs are making sure that analytics and AI teams have data security in mind and are using secure data platforms.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

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. Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

MARCH 1, 2024

As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud. BMO has accumulated sensitive financial data and needed to build an analytic environment that was secure and performant.

Data Lake 99

Data Lake Data Warehouse Management Risk 99

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 billion in 2020?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 103

Data Lake Unstructured Data Data Warehouse Data Quality 103

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

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. For users that require a unified view of software quality, this is unacceptable.

Software 52

Software Data Lake Testing Cost-Benefit 52

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

MARCH 22, 2022

How do you introduce AI into your data and analytics infrastructure? To companies entrenched in decades-old business and IT processes, data fiefdoms, and legacy systems, the task may seem insurmountable. Which type(s) of storage consolidation you use depends on the data you generate and collect. . Outcomes you can expect.

Analytics 98

Analytics Key Performance Indicator Data Warehouse Data-driven 98

CIO Business Intelligence

DECEMBER 21, 2022

BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions. Axel Goris, global visual analytics lead, Novartis Novartis There can be obstacles, however, to taking the self-service approach.

IT 128

IT Business Intelligence Sales Key Performance Indicator 128

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.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

CIO Business Intelligence

JANUARY 30, 2024

While choosing the right tools from the expanding ESG software marketplace is important, the real work takes place on the back end. What companies need more than anything is good data for ESG reporting. Data quality is key, but if we’re doing it manually there’s the potential for mistakes.

Reporting 102

Reporting Data Quality Strategy Data-driven 102

CIO Business Intelligence

NOVEMBER 28, 2023

While industry research estimates that as much as 90% of enterprise data is unstructured, 61% of IT leaders say managing unstructured data is a problem for their organization, with another 24% not even including unstructured data on their data and analytics short list, according to research from Foundry.

Unstructured Data 123

Unstructured Data Data-driven Visualization Data Quality 123

Alation

JANUARY 13, 2022

Thoughtworks says data mesh is key to moving beyond a monolithic data lake. Spoiler alert: data fabric and data mesh are independent design concepts that are, in fact, quite complementary. Thoughtworks says data mesh is key to moving beyond a monolithic data lake 2. Gartner on Data Fabric.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

Grooper

MARCH 5, 2020

If your organization has any kind of data and analytics initiative, then chances are you have people – maybe even an entire department dedicated to managing and integrating data for (and between) software applications to achieve some sort of business outcome. Is a Power-User or a Data Scientist an Information Steward?

Data Lake 98

Data Lake Metadata Data Quality Software 98

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 76

Cost-Benefit Metadata Optimization Management 76

BizAcuity

APRIL 1, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Data governance and security measures are critical components of data strategy. What is Business Intelligence?

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Data governance and security measures are critical components of data strategy. What is Business Intelligence?

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

JULY 12, 2023

Introduction to Amazon Redshift Amazon Redshift is a fast, fully-managed, self-learning, self-tuning, petabyte-scale, ANSI-SQL compatible, and secure cloud data warehouse. Thousands of customers use Amazon Redshift to analyze exabytes of data and run complex analytical queries.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. Security: It must serve data throughout a system.

Data Governance 86

Data Governance Metadata Data-driven Enterprise 86

Ontotext

AUGUST 4, 2023

As a design concept, data fabric requires a combination of existing and emergent data management technologies beyond just metadata. Data fabric does not replace data warehouses, data lakes, or data lakehouses. This applies policies based on consumer profiles to automate policy enforcements.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

AWS Big Data

FEBRUARY 27, 2024

This modernization involved transitioning to a software as a service (SaaS) based loan origination and core lending platforms. Because these new systems produced vast amounts of data, the challenge of ensuring a single source of truth for all data consumers emerged.

Data-driven 95

Data-driven Data Lake Data Quality Data Governance 95