CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

CIO Business Intelligence

APRIL 29, 2022

Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes. Create a CXO-driven data strategy.

Digital Transformation 132

Digital Transformation Data-driven Strategy Data Strategy 132

Cloudera

JULY 20, 2021

Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. . Build your data strategy around the convergence of software and hardware.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

Sisense

JULY 6, 2020

These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness. Data architecture creates instructions that guide you through the data collection, integration, and transformation processes, as well as data modeling.

Enterprise 98

Enterprise Management Data Architecture Data-driven 98

TDAN

NOVEMBER 1, 2022

Many software developers distrust data architecture practices such as data modeling. They associate these practices with rigid and bureaucratic processes causing significant upfront planning and delays.

Modeling 64

Modeling Data Architecture Software IT 64

Sisense

AUGUST 28, 2019

In the early days of software development, applications were built to run on a single, compatible, physical machine. With the introduction of VMware in the 1990s, developers embraced the ability to run their applications on virtual machines that could then run on any physical machine architecture. What does it mean for your data?

Analytics 73

Analytics Data Strategy Strategy Data Architecture 73

AWS Big Data

APRIL 19, 2023

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization.

Technology 93

Technology Data-driven Machine Learning Sales 93

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Cloudera

AUGUST 22, 2021

I studied Commerce majoring in Economics at university and when I first started in the software industry, cloud was a much less ubiquitous term than it is today but the economics of using cloud, reducing inefficient spend, removing the barrier for innovation and agility, and the flexibility it gives organisations made so much sense to me. .

Cost-Benefit 105

Cost-Benefit IoT Strategy Digital Transformation 105

erwin

SEPTEMBER 13, 2022

Day one will feature presentations from industry experts and experienced data professionals on the initiatives and tactical measures being taken by data-driven enterprises to reap the benefits of data intelligence and governance. Learn how to maximize the business impact of your data.

Data Governance 52

Data Governance 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 106

Data-driven Data Lake Data Quality Data Governance 106

AWS Big Data

DECEMBER 19, 2024

HEMA built its first ecommerce system on AWS in 2018 and 5 years later, its developers have the freedom to innovate and build software fast with their choice of tools in the AWS Cloud. HEMA has a bespoke enterprise architecture, built around the concept of services. Oghosa Omorisiagbon is a Senior Data Engineer at HEMA.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

IBM Big Data Hub

MAY 15, 2024

Another deployment option is the self-managed approach, such as a software application deployed on-premises, which offers users full control over their business-critical data, thus lowering data privacy, security and sovereignty risks.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

AWS Big Data

JULY 16, 2024

For example, Zurich also configured a connector for their existing SIEM to query OpenSearch, which further allows distributed processing from on premises and enables aggregation of data across data sources. She currently serves as the Global Head of Cyber Data Management at Zurich Group.

Insurance 123

Insurance Management Cost-Benefit Optimization 123

TDAN

OCTOBER 18, 2022

The concept of technical debt was first proposed in the early 1990s by Ward Cunningham to describe the impact of poor-quality code on your overall software development […].

Software 94

Software Data Architecture IT Data Quality 94

AWS Big Data

JUNE 10, 2024

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. It enables organizations to quickly construct robust, high-performance data lakes that support ACID transactions and analytics workloads.

Data Lake 121

Data Lake Metadata Snapshot Analytics 121

AWS Big Data

JULY 14, 2023

These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture. Software Development Manager for Finance Automation in Amazon. About the Authors Nitin Arora is a Sr.

Finance 90

Finance Metadata Big Data Recreation/Entertainment 90

AWS Big Data

JANUARY 12, 2024

We have defined all layers and components of our design in line with the AWS Well-Architected Framework Data Analytics Lens. Organizations may not always have control over what data comes through these channels and into their downstream storage and applications. Outside of work, he enjoys playing tennis and biking.

Data Lake 108

Data Lake Cost-Benefit Visualization Structured Data 108

Anmut

APRIL 6, 2023

By regularly conducting data maturity assessments, you can catch potential issues early and make proactive changes to supercharge your business’s success. Use the data maturity assessment output to decide which data assets look like they need urgent attention and resource to amend, this will inform your data strategy.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

BizAcuity

APRIL 14, 2022

A large number of organizations accumulate massive amounts of data almost every single day and analyzing every batch of data that comes in demands the use of modern tools and platforms. Data Management. Before building a big data ecosystem, the goals of the organization and the data strategy should be very clear.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

BizAcuity

MAY 24, 2022

IaaS provides a platform for compute, data storage and networking capabilities. IaaS is mainly used for developing softwares (testing and development, batch processing), hosting web applications and data analysis. All kinds of softwares. Software as a Service (SaaS). Platform as a Service (PaaS). No pun intended.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

AWS Big Data

OCTOBER 25, 2023

After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value. However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data.

Unstructured Data 128

Unstructured Data Metadata Management Analytics 128

IBM Big Data Hub

NOVEMBER 14, 2022

Being a data-driven organization goes well beyond building a modern data architecture. For CDOs and other leaders within different lines of business, this means fostering a culture that prioritizes data literacy : the ability to read, understand, create and communicate data.

Data-driven 52

Data-driven Visualization Data Architecture Machine Learning 52

TDAN

OCTOBER 20, 2021

As technology is improving itself with continuous upgrades, it has led to the birth of using software without installing it on your device, such service is known as Software as a Service (SaaS). With the introduction of such services in the market, there is also a demand for business stats to appear in real-time. Through […].

Analytics 69

Analytics Software Marketing Technology 69

Cloudera

AUGUST 21, 2020

Cloudera DataFlow offers the capability for Edge to cloud streaming data processing. This type of end-to-end data processing that starts at the Edge and ends in the cloud is made possible by using Apache NiFi. NiFi is software from the Apache Software Foundation which is designed to help the flow of data through an organization.

Enterprise 62

Enterprise Data Lake Strategy Metadata 62

AWS Big Data

APRIL 3, 2024

In our example, we have configured a ruleset against a table containing patient data within a healthcare synthetic dataset generated using Synthea. Synthea is a synthetic patient generator that creates realistic patient data and associated medical records that can be used for testing healthcare software applications. onData(df).useRepository(metricsRepository).addCheck(

Data Quality 103

Data Quality Visualization Metadata Metrics 103

IBM Big Data Hub

AUGUST 1, 2022

IBM’s data fabric approach prioritizes helping enterprises elevate the value of their data architecture, and through initiatives such as Customer 360 –which helps to reduce data quality issues in applications and optimizes business’ insights on customers. .

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52

AWS Big Data

APRIL 26, 2023

It helps engineers, analysts and businesses access the most up-to-date release of the software asset that bring accuracy to the decision-making process. The DevOps practices which revolutionized software engineering in the last decade have yet to come to the world of Business Intelligence solutions.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

FEBRUARY 9, 2023

Customers across industries seek meaningful insights from the data captured in their Customer Relationship Management (CRM) systems. To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications.

Data Warehouse 86

Data Warehouse Data-driven Snapshot Testing 86

TDAN

MAY 31, 2022

One very influential factor that can potentially undermine your data and document strategies is the natural and emotional reactions of people when things change. Interactions between hardware and software are cautiously investigated, operating systems and network connections are carefully tested, […].

Testing 52

Testing Interactive Strategy Software 52

TDAN

JUNE 16, 2020

When companies embark on a journey of becoming data-driven, usually, this goes hand in and with using new technologies and concepts such as AI and data lakes or Hadoop and IoT. Suddenly, the data warehouse team and their software are not the only ones anymore that turn data […].

Data Warehouse 52

Data Warehouse Data-driven Data Lake IoT 52

Peter James Thomas

OCTOBER 1, 2019

I use Radar Charts myself extensively when assessing organisations’ data capabilities. The above exhibit shows how an organisation ranks in five areas relating to Data Architecture compared to the best in their industry sector [5]. This is a task generally best left to some software to figure out. Scatter Charts.

Sales 61

Sales Measurement Statistics Data Architecture 61

TDAN

MAY 14, 2019

Whether finding a plumber or somewhere to eat lunch, the first thing we do is go online. In the modern world, it’s almost essential that a business has a digital presence, and not only that— it’s critical that this presence isn’t stagnant. The world is rapidly moving, with customers’ needs developing by the second. Your […].

Enterprise 40

Enterprise Data Architecture Data Strategy Big Data 40

CIO Business Intelligence

JUNE 16, 2022

Most organizations (81%) don’t have an enterprise data strategy that enables them to fully capitalize on their data assets, according to Accenture. Often, enterprise data ecosystems are built with a mindset that’s too narrow. Many organizations house their data in a variety of “fiefdoms” or silos.

IT 135

IT Experimentation IoT Data-driven 135

AWS Big Data

MARCH 28, 2024

As part of Amazon’s FinTech organization, we offer a software platform that empowers the internal accounting teams at Amazon to conduct account reconciliations. The future of the data innovation journey holds exciting possibilities and advancements to be explored further. About the Authors Jeeshan Khetrapal is a Sr.

Optimization 92

Optimization IT Big Data Data Processing 92

Jet Global

OCTOBER 1, 2024

With Simba drivers acting as a bridge between Trino and your BI or ETL tools, you can unlock enhanced data connectivity, streamline analytics, and drive real-time decision-making. Let’s explore why this combination is a game-changer for data strategies and how it maximizes the value of Trino and Apache Iceberg for your business.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52