CIO Business Intelligence

NOVEMBER 9, 2022

Over the past decade, the company invested heavily in data platforms and data integration. Data scientists had little visibility into the business units, and, conversely, leaders from sales, supply chain, HR, finance, and marketing weren’t embracing the available data. Data Management, IT Leadership

IT 98

IT Uncertainty Sales Strategy 98

TDAN

AUGUST 18, 2020

Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. Over the last few years, a number of new graph databases came to market. We are in the era of graphs. Graphs are hot. Graphs deliver it in spades.

Data Integration 119

Data Integration Marketing Analytics Data Architecture 119

datapine

AUGUST 20, 2019

Large streams of data generated via myriad sources can be of various types. Here are some of them: Marketing data: This type of data includes data generated from market segmentation, prospect targeting, prospect contact lists, web traffic data, website log data, etc. Artificial Intelligence.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Data Virtualization

MARCH 31, 2022

Reading Time: 4 minutes A discussion on All Things Data with Katrina Briedis, Senior Product Marketing Manager (APAC) at Denodo, with a special focus on Data Fabric Approach for Effective Data Management. Listen to “Is Data Fabric the Ideal Approach for Effective Data Management?”

Management 52

Management Data Integration Marketing Data Lake 52

CIO Business Intelligence

FEBRUARY 20, 2023

Benefits of Salesforce certifications Salesforce jobs range from the technical (architects, developers, implementation experts) to those related to marketing and sales. The certification emphasizes testing, governance, and integration with external systems within an organization’s infrastructure.

Consulting 87

Consulting B2B Cost-Benefit Sales 87

erwin

JANUARY 9, 2020

Deploying higher quality data sources with the appropriate structural veracity: Automate and enforce data model design tasks to ensure data integrity. From regulatory compliance and business intelligence to target marketing, data modeling maintains an automated connection back to the source.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Cloudera

JULY 11, 2022

What used to be bespoke and complex enterprise data integration has evolved into a modern data architecture that orchestrates all the disparate data sources intelligently and securely, even in a self-service manner: a data fabric. Cloudera data fabric and analyst acclaim. Move beyond a fabric.

Data Architecture 108

Data Architecture Data-driven Cost-Benefit Data Warehouse 108

Data Virtualization

MAY 13, 2022

Reading Time: 3 minutes Join our conversation on All Things Data with Robin Tandon, Director of Product Marketing at Denodo (EMEA & LATAM), with a focus on how data virtualization helps customers realize true economic benefits in as little as six weeks.

Data Integration 52

Data Integration Marketing Management Data Warehouse 52

CIO Business Intelligence

MAY 2, 2022

Ken Finnerty, vice president of information technology at overall winner UPS , will discuss how the shipping giant thinks about innovation and tools like artificial intelligence and data architecture with Chandana Gopal, IDC’s research director for Future of Intelligence.

Advertising 98

Advertising Data Governance Insurance Strategy 98

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 68

Data Quality Data Integration Metadata Cost-Benefit 68

BizAcuity

MAY 24, 2022

A niche within SaaS and one of the last layers specific to what it does even though there are other services like DaaS, MaaS, CaaS and NaaS in the markets. Analytics as a Service is almost a BI tool used for data analysis.and examples are restricted to the industry. Analytics as a Service (AaaS). It helps when building the assessment.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

BizAcuity

APRIL 6, 2022

ResearchandMarkets predicts that the global casino and sports betting market is to reach $911.9 Jointly with the current market volatility, not having a precision upto 12 decimal points can mean huge losses for online casinos. BizAcuity helps online casinos track business KPIs and 500+ variables for marketing and operations.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

Cloudera

FEBRUARY 15, 2024

Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

Ontotext

JANUARY 10, 2024

Often, an enterprise starts with one thing it does well and then adds more business lines to expand the market. This requires new tools and new systems, which results in diverse and siloed data. And each of these gains requires data integration across business lines and divisions. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

CIO Business Intelligence

MARCH 6, 2024

“SAP is executing on a roadmap that brings an important semantic layer to enterprise data, and creates the critical foundation for implementing AI-based use cases,” said analyst Robert Parker, SVP of industry, software, and services research at IDC. We are also seeing customers bringing in other data assets from other apps or data sources.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

AWS Big Data

NOVEMBER 13, 2023

The upstream data pipeline is a robust system that integrates various data sources, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK) for handling clickstream events, Amazon Relational Database Service (Amazon RDS) for delta transactions, and Amazon DynamoDB for delta game-related information.

Data Warehouse 88

Data Warehouse Data Lake Analytics Data Science 88

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

Ontotext

JANUARY 11, 2023

The implications of consumer behavior for retailers range from the need to ensure relevant customer service and quick delivery to serving personalized content and managing data from disparate systems. Of course, there are various platforms and data architectures for managing customer and product data.

Contextual Data 52

Contextual Data Interactive Data-driven Marketing 52

AWS Big Data

AUGUST 31, 2023

Create a unified view of the local table and historical data in Amazon Redshift As a modern data architecture strategy, you can organize historical data or less frequently accessed data in the data lake and keep frequently accessed data in the Redshift data warehouse.

Data Lake 90

Data Lake Data Warehouse Metadata Data Architecture 90

CIO Business Intelligence

APRIL 5, 2022

With code-free ETL/ELT pipeline generation, users can take data from its source to its target warehouse with simple drag-and-drop actions. Adding further agile data modelling functionalities into the product allows models to be updated and redeployed, enabling data architectures to evolve continuously to meet user needs.

Data Warehouse 98

Data Warehouse Visualization Data-driven Data Architecture 98

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Track market trends. Explore cross-industry integration.

Insurance 83

Insurance Risk Data-driven Finance 83

IBM Big Data Hub

JANUARY 17, 2023

This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. The result is more useful data for decision-making, less hassle and better compliance. Data integration. Start a trial.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

AWS Big Data

NOVEMBER 29, 2023

Maximize value with comprehensive analytics and ML capabilities “Amazon Redshift is one of the most important tools we had in growing Jobcase as a company.” – Ajay Joshi, Distinguished Engineer, Jobcase With all your data integrated and available, you can easily build and run near real-time analytics to AI/ML/Generative AI applications.

Data Warehouse 98

Data Warehouse Data Lake Analytics Machine Learning 98

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

IBM Big Data Hub

JUNE 28, 2023

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. All of these features help with an accelerated time to market, along with developing a secure, scalable omics processing pipeline.

Informatics 68

Informatics Consulting Cost-Benefit Data Architecture 68

Alation

JULY 28, 2022

And adoption is so significant that many participants have earned notable market capitalization. And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? Migration leaders would be wise to filter out data, not to migrate via a clear policy.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Alation

JANUARY 25, 2022

The data catalog is a foundational layer of the data fabric. This zoomed-in version has references to corresponding vendor markets removed.). Using this diagram as our guide, this blog will deep-dive into each layer of the data fabric, starting with the data catalog. But what does integration look like in action?

Metadata 52

Metadata IT Metrics Data-driven 52

BI-Survey

AUGUST 21, 2020

However, data warehousing and BI applications are only considered moderately successful. Especially in times of rapidly changing markets, decision-support systems should promote the quickest possible knowledge growth. However, an automation approach alone is of limited usefulness when data management processes are inefficient.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

Andrew White

JANUARY 9, 2022

What is a Market? . How important is the role of the citizen data scientist, and what recommendations do you have for organizations looking to augment their data science teams by developing analysts and domain experts into this role? For example, you don’t and can’t hire a citizen data scientist or any citizen role.

Analytics 64

Analytics Measurement Modeling Data-driven 64

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. This lets users across the organization treat the data like a product with widespread access.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

AWS Big Data

NOVEMBER 13, 2023

11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. 4:30 PM – 5:30 PM (PDT) Wynn ANT207 | Understand your data with business context. 1:00 PM – 2:00 PM (PDT) Venetian ANT201 | Accelerate innovation with real-time data.

Analytics 110

Analytics Data Lake Data Warehouse Data-driven 110

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Discover how you can use Amazon Redshift to build a data mesh architecture to analyze your data.

Data Warehouse 96

Data Warehouse Machine Learning Data-driven Data Lake 96

FineReport

MARCH 31, 2024

In today’s dynamic business landscape, Business Intelligence (BI) tools are indispensable software applications crafted to extract, transform, and present data, facilitating strategic decision-making. Key Features: Integrated data architecture simplifies data preparation and analysis processes.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

NOVEMBER 14, 2022

Building a foundation for flexible and scalable analytics Migrating analytics from on-premises systems to the cloud opens a realm of applications and capabilities and has allowed organizations to gradually shed the restraints of legacy architecture, with the proper controls in place.

Analytics 111

Analytics Machine Learning Testing Data Strategy 111

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52