CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. Real-time data involves a continuous flow of data in motion.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. Sirius has created a lightweight development tool to rapidly build and deploy best-practice data models.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

Analytics 74

Analytics Cost-Benefit ROI Business Objectives 74

Cloudera

JUNE 2, 2021

Data pipelines are in high demand in today’s data-driven organizations. As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable.

Data Warehouse 88

Data Warehouse Machine Learning Data-driven Enterprise 88

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. IBM has been the pioneer in paving the way for data management technologies and advancements for decades, from the first commercial database to quantum computing systems. This is the story of Db2. .

Data Lake 96

Data Lake Data Warehouse Publishing Structured Data 96

Cloudera

MARCH 13, 2019

The Data Heroes initiative is one of the ways that we recognize customers who achieve outstanding results with Cloudera technologies. The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data.

Data Architecture 68

Data Architecture Deep Learning Machine Learning Big Data 68

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. Users have become increasingly hungry for quicker access to trusted and timely data, and a way to access that data with less reliance on the busy Central Analytics Technology team.

Publishing 54

Publishing Analytics Business Intelligence Operational Reporting 54

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. a new version of AWS Glue that accelerates data integration workloads in AWS.

Data Lake 80

Data Lake Visualization Dashboards Insurance 80

AWS Big Data

AUGUST 7, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Redshift ML supports target time series data and related time series data.

Forecasting 83

Forecasting Data Warehouse Machine Learning Modeling 83

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 103

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 103

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

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. The potential impacts are reminiscent of the dawn of the Internet, and are likely to be just as transformative for businesses.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

IBM Big Data Hub

JUNE 23, 2023

Ecosystem connectivity: The use of cloud enables industry-specific platforms that connect to new value nets of partners, customers and other external players. Insurers are also struggling with high, mostly fixed costs and the complexities of maintaining legacy systems, which makes current variable cost-based alternatives more attractive.

Insurance 61

Insurance Cost-Benefit Digital Transformation Marketing 61

IBM Big Data Hub

AUGUST 15, 2023

Our partnership benefits from IBM’s expertise in cloud computing , artificial intelligence (AI) and analytics, and TCS’s experience in digital transformation, consulting and cloud-engineering services. TCS has deep expertise in digital and business solutions, engineering, and IT infrastructure services.

Consulting 63

Consulting Cost-Benefit Digital Transformation Testing 63

erwin

MAY 18, 2022

Last week, Quest released erwin Data Intelligence by Quest version 12.0, a pivotal release for erwin Data Intelligence customers. Industry analysts, data domain field experts and erwin Data Intelligence customer advisory board members have all shown positive early reactions to its new capabilities in several key areas.

Data Quality 52

Data Quality Metadata Data Governance Software 52

Alation

MARCH 29, 2023

Second, it ensures they’re going to get the best price for our platform. They help our customers architect their modern data stack , tying in Snowflake or Fivetran where they’re needed, for example. They’re also instrumental in connecting us to the key decision-makers that need a data intelligence platform.

Data Strategy 52

Data Strategy Strategy Data Governance Sales 52

AWS Big Data

JUNE 26, 2023

In today’s digital world, data is generated by a large number of disparate sources and growing at an exponential rate. Companies are faced with the daunting task of ingesting all this data, cleansing it, and using it to provide outstanding customer experience. It’s commonly referred to as a data harmonization or deduplication problem.

Insurance 80

Insurance Visualization Data Lake Metrics 80

CDW Research Hub

SEPTEMBER 9, 2021

A typical enterprise can collect millions of monitoring data points every day. In the early days SIEM solutions were not equipped to handle mainframe data, but that has changed. While there are other SIEM solutions in the marketplace, this blog will focus on Splunk. Generates alerts if suspicious activity is detected.

Strategy 59

Strategy Enterprise Dashboards Software 59

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

Alation

JUNE 14, 2021

The Role of Catalog in Data Security. Recently, I dug in with CIOs on the topic of data security. What came as no surprise was the importance CIOs place on taking a broader approach to data protection. What did come as a surprise was the central role of the data catalog for CIOs in data protection.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Laminar Security

NOVEMBER 16, 2023

It’s also created a sharp rise in cloud data, and along with that, the challenge of protecting this data from malicious elements that live online, such as data breaches , misuse, violation, and leakage to a business. Increasingly, businesses are turning to what Gartner has termed Data Security Posture Management (DSPM).

Risk 59

Risk Cost-Benefit Dashboards Management 59

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Compared to legacy Apache HBase or Phoenix implementations, COD has been architected to enable organizations optimize infrastructure costs, streamline application development lifecycle and accelerate time to value.

Cost-Benefit 91

Cost-Benefit Optimization Risk Management 91

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 80

Data Lake Data Governance Cost-Benefit Machine Learning 80

Sisense

MAY 31, 2020

Recognition from the customers who participated in the study reflects the premium we place not only on delivering a powerful analytics platform that distributes insights to everyone, but the way we engage with and support our customers. Customer obsession is part of who we are. When we partner, we all win. Building a partnership.

Marketing 98

Marketing Reporting Data Warehouse Predictive Analytics 98

Sisense

JANUARY 23, 2020

As a leader in the business intelligence and analytics industry, Sisense has worked hard to embed the unique qualities that drove its success and growth into its corporate DNA. We are in a unique position, I want to help us scale but also architect an organizational design and fabric that helps others to be successful,” Shiber said.

Marketing 93

Marketing Data-driven Business Intelligence Sales 93

Ontotext

JUNE 10, 2021

And yeah, the real-world relationships among the entities represented in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. Ironically, relational databases only imply relationships between data points by whatever row or column they exist in.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. There are four groups of data that are naturally siloed: Structured data (e.g., Transaction and pricing data (e.g., Knowledge organization (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

erwin

APRIL 25, 2019

Data governance is one area where business and IT never seemed to establish ownership. Early attempts at data governance treated the idea as a game of volleyball, passing ownership back and forth, with one team responsible for storing data and running applications, and one responsible for using the data for business outcomes.

Enterprise 94

Enterprise Digital Transformation Data Governance Business Intelligence 94

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

Juice Analytics

MARCH 11, 2021

At Juice, we’ve helped our clients launch dozens of data products that generate new revenue streams, differentiate their solutions in the market and build stronger customer relationships. In this series I’ll take you through what you need to know to design, build, launch, sell and support a data product.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

erwin

JANUARY 24, 2019

Organizations are responsible for governing more data than ever before, making a strong automation framework a necessity. In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. Governing metadata.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

CDW Research Hub

MAY 28, 2021

Trends in data storage give us insight into how the storage market is changing. Data storage systems have become a mission-critical component of enterprise IT infrastructure. Organizations will need to be prepared for the next wave of the data boom by adopting storage solutions that are agile, scalable, secure and flexible.

Optimization 52

Optimization Deep Learning Enterprise Software 52

AWS Big Data

APRIL 18, 2024

This is a guest blog post co-authored with Atul Khare and Bhupender Panwar from Salesforce. is a cloud-based customer relationship management (CRM) software company building artificial intelligence (AI)-powered business applications that allow businesses to connect with their customers in new and personalized ways.

Optimization 87

Optimization Data Lake Management Key Performance Indicator 87

BizAcuity

MARCH 1, 2019

There is a coherent overlap between the Internet of Things and Artificial Intelligence. IoT is basically an exchange of data or information in a connected or interconnected environment. AI is about simulating intelligent behavior in machines that carry out tasks ‘smartly’. and constantly report this data to backend.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. Its value is so significant that scaling data science has become the new business imperative with organizations spending tens of millions of dollars on data, technology and talent. What is Data Science and How is it Used?

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45