IBM Big Data Hub

JUNE 8, 2022

However, a foundational step in evolving into a data-driven organization requires trusted, readily available, and easily accessible data for users within the organization; thus, an effective data governance program is key. Why you should automate data governance and how a data fabric architecture helps.

Data-driven 58

Data-driven Enterprise Data Governance Data Lake 58

CIO Business Intelligence

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 137

Analytics Slice and Dice Metrics Sales 137

Laminar Security

JULY 19, 2023

Google BigQuery, a leading data warehouse solution, plays a pivotal role in enabling data scientists, developers, and innovators to derive maximum value from their data by analyzing customer purchase patterns, sales trends, and other critical metrics.

Data Warehouse 91

Data Warehouse Data-driven Data Governance Risk 91

DataKitchen

OCTOBER 2, 2023

Whether the Data Ingestion Team struggles with fragmented database ownership and volatile data environments or the End-to-End Data Product Team grapples with real-time data observability issues, the article provides actionable recommendations. ’ What’s a Data Journey?

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This proactive stance safeguards against erroneous insights or decisions driven by flawed or incomplete datasets.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

JUNE 30, 2023

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

Internet of Things 104

Internet of Things Strategy Data Strategy Risk 104

CIO Business Intelligence

DECEMBER 28, 2022

With each new generation of the sophisticated applications companies have come to depend on—applications, such as machine learning and data analytics—compute requirements soar to new heights. If you have 50,000 Office 365 users, there are no metrics to help you make the calculation at this point.”

Reporting 119

Reporting Consulting Manufacturing Software 119

Smarten

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics. Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise.

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

InsightOut

JULY 16, 2021

As the volume and velocity of data production explode, business leaders are practically drowning in data,xc2xa0but unable to see important and relevant insights. A dashboard solves this problem by presenting the most relevant metrics and indicators in a visual format that is convenient to absorb and use.

Dashboards 52

Dashboards Management KPI Sales 52

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. What are common data challenges for the travel industry? Travel can be stressful and emotionally fraught.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Smarten

AUGUST 17, 2018

Every company is different and the impact of these types of tools will be unique in some ways, but there are many ways in which the introduction of advanced analytics to business users will typically impact your business. But, how do you begin to understand the implications of these changes?

Analytics 40

Analytics Measurement Data-driven Optimization 40

DataKitchen

NOVEMBER 18, 2021

In our survey, data engineers cited the following as causes of burnout: The relentless flow of errors. Restrictive data governance Policies. For see the entire results of the data engineering survey, please visit “ 2021 Data Engineering Survey: Burned-Out Data Engineers are Calling for DataOps.”.

Testing 246

Testing Data Governance Measurement Software 246

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . DataKitchen — a DataOps Platform that supports the deployment of all data analytics code and configuration.

Testing 300

Testing Machine Learning Consulting Data Quality 300

datapine

MARCH 25, 2019

Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement. Harvest your data. Build a data management roadmap.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

AWS Big Data

JUNE 28, 2023

The transactional data from this website is loaded into an Aurora MySQL 3.03.1 (or The company’s business analysts want to generate metrics to identify ticket movement over time, success rates for sellers, and the best-selling events, venues, and seasons. or higher version) database. source) and Amazon Redshift (destination).

Data Warehouse 86

Data Warehouse Analytics Metrics Dashboards 86

IBM Big Data Hub

APRIL 15, 2024

They can focus on designing the core logic of their models without getting bogged down in data management complexities. Benefits for developers: By utilizing an abstraction layer, developers working on data analytics can focus on the core logic of their models. Data virtualization streamlines these intricate systems crucially.

Analytics 70

Analytics Optimization Data-driven Metrics 70

datapine

DECEMBER 11, 2019

Vertical SaaS also provides the following benefits: Customer intelligence: Enables businesses to obtain industry-specific customer data and intelligence, which plays a critical role in gaining customer-focused insights. If you’re looking to improve your data analytics processes, in particular, unbundling is unlikely to be the answer.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

IBM Big Data Hub

OCTOBER 12, 2023

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. And that makes sense.

Cost-Benefit 82

Cost-Benefit Metadata Data Governance Modeling 82

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk. Governance 101.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

JULY 13, 2023

Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices. Goals – Lay the foundation for a data platform that can be used in the future by internal and external stakeholders. This can be run manually or scheduled via Amazon Eventbridge (Optional).

Optimization 91

Optimization B2B Data Quality Sales 91

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Organizations using C360 achieved 43.9% faster time to market, and 19.1%

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Alation

OCTOBER 27, 2022

Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason! We specialize in multiple functions, which include but are not limited to, data governance , dashboarding, data & analytics engineering, and data science. Let’s dive in. What do you do at Alation? Happy to chat.

Metrics 52

Metrics Dashboards Sales Reporting 52

AWS Big Data

JANUARY 22, 2024

Parameters of success Acast succeeded in bootstrapping and scaling a new team- and domain-oriented data product and its corresponding infrastructure and setup, resulting in less friction in gathering insights and happier users and consumers. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 88

Data-driven Advertising Metadata Data Architecture 88

Andrew White

JANUARY 9, 2022

To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved. Have a look at this and see if this helps: Data, Analytics and AI Form the Foundation of Data-Driven Decision Making. . We write about data and analytics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

AWS Big Data

JANUARY 24, 2023

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. The Data Catalog organizes this information in the form of metadata tables and databases.

Data Architecture 67

Data Architecture Metadata Data Lake Snapshot 67

Grooper

OCTOBER 23, 2019

Lack of competitiveness or business losses seem to be the main drivers to becoming more proactive with data governance and management. What you’re shooting for is enterprise-wide information governance. Governance. Edwards Deming said, “In God we trust, all others must bring data.” Governance. Life Cycle.

Metrics 59

Metrics Measurement Strategy Optimization 59

BI-Survey

AUGUST 24, 2022

Specifically, organizations are implementing data governance programs and data quality workflows to improve data accuracy, completeness, and consistency. They are launching data literacy programs with coaching and support networks to improve knowledge and skills required to use BI/analytics tools effectively.

IT 52

IT Business Driver Data Quality Data-driven 52

AWS Big Data

JUNE 9, 2023

Data in customers’ data lakes is used to fulfil a multitude of use cases, from real-time fraud detection for financial services companies, inventory and real-time marketing campaigns for retailers, or flight and hotel room availability for the hospitality industry.

Data Lake 116

Data Lake Metadata Optimization Statistics 116

IBM Big Data Hub

MAY 17, 2024

The “unknown unknowns” A significant barrier to BI adoption is the challenge of not knowing what questions to ask or what data might be relevant. Dashboards are static and require users to come with specific queries or metrics in mind.

Dashboards 85

Dashboards Business Intelligence Snapshot Interactive 85

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. For this purpose, you can think about a data governance strategy.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

AWS Big Data

MAY 1, 2024

Excel-based data utilization Microsoft Excel is available on almost everyone’s PC in the company, and it helps lower the hurdles when starting to utilize data. However, Excel is mainly designed for spreadsheets; it’s not designed for large-scale data analytics and automation. Each role has sub-roles.

Dashboards 114

Dashboards Data-driven Publishing Cost-Benefit 114

Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. What is Data Analytics?

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

FineReport

APRIL 3, 2024

By visually representing data through charts, graphs, and maps, they foster collaboration and knowledge sharing among stakeholders. Integrated with diverse data sources, they empower users to analyze data directly within the dashboard interface, democratizing data analytics for both technical and non-technical users.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

Cloudera

AUGUST 26, 2020

Talend’s data management environment running on Cloudera Data Platform enables you to create and execute Hadoop and Spark integration jobs, process and reconcile Big Data, and implement data governance processes using an intuitive drag-and-drop interface. Certified BI Analytical Partners.

Machine Learning 80

Machine Learning Big Data Data Warehouse Data-driven 80

Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. Leveraging analytics enables companies in this space to achieve financial and operational efficiencies while delivering personalized services and offerings. What is data analytics in the hospitality industry?

Data Analytics 52

Data Analytics Analytics ROI Data Governance 52

Andrew White

JANUARY 11, 2021

Governance. Risk Management (most likely within context of governance). Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. See The Future of Data and Analytics: Reengineering the Decision, 2025. Value Management or monetization.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52