CIO

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. Business Intelligence

Data 306

Data Fractional CTO Artificial Inteligence Systems Review 306

CIO

AUGUST 23, 2022

With a focus on patient care, cost savings, and scalable innovation, healthcare organizations in the US are adopting a range of emerging technologies to improve patient experiences, to aid clinicians in their jobs, and to compete with digital entities entering the market. Business intelligence developer. Application analyst.

Healthcare 261

Healthcare Systems Administration Software Engineering Business Intelligence 261

InnovationM

MAY 14, 2023

Platforms like Hadoop Distributed File System (HDFS) or cloud-based storage solutions such as Amazon S3 and Azure Data Lake Storage offer fault-tolerant and scalable storage capabilities across clusters of machines. Data Governance and Metadata Management: Effective data governance is essential for managing data lakes successfully.

Data 52

Data Storage Construction Business Intelligence 52

Perficient

FEBRUARY 28, 2023

These charts show just a few of the use cases we’ve built for past provider, payer, and life sciences clients, to paint a picture of the actual analytics value we’ve delivered. Now let’s take a more in-depth look at a few specific projects and solutions which Perficient has executed with our clients.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

Openxcell

OCTOBER 2, 2023

After analyzing the performance, scalability, and cost-effectiveness of the current system, they recommend improvements and optimizations. If you want to reimagine business processes, adopt cloud solutions, integrate data analytics, and embrace emerging technologies then this service is for you.

Technical Review 52

Technical Review Security Technology Weak Development Team 52

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. The introduction of Pentaho Business Analytics 5.0

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

O'Reilly Media - Data

JULY 23, 2018

Executive Briefing: from Business to AI—missing pieces in becoming "AI ready ". Data preparation, governance, and privacy. Issues pertaining to data security, privacy, and governance persist and are not necessarily unique to ML applications. Data preparation, governance and privacy". Blockchain and decentralization".

Machine Learning 118

Machine Learning Artificial Inteligence How To Case Study 118

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. They deliver on the promise of Hadoop and Big Data, by providing a collaborative and intuitive visual environment for teams to quickly create and deploy analytics workflows and predictive models.

Technical Review 99

Technical Review Analytics Technology Big Data 99

CIO

JUNE 30, 2023

This doesn’t mean the cloud is a poor option for data analytics projects. In many scenarios, the scalability and variety of tooling options make the cloud an ideal target environment. Foundry’s 2022 Data & Analytics study found that 62% of IT leaders expect the share of analytics workloads they run in the cloud to increase.

Analytics 246

Analytics Cloud Data Government 246

Apiumhub

FEBRUARY 25, 2021

Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems, extracting knowledge and insights from many structural and unstructured data. Tesla, Ford and Volkswagen are all implementing predictive analytics in their new wave of autonomous vehicles.

Tools 72

Tools Data Artificial Inteligence Machine Learning 72

Xebia

JANUARY 19, 2023

– Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The best data engineers view their responsibilities through business and technical lenses. Architect for scalability. Plan for failure.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. The most important component is the data management application, which is responsible for all the data manipulation, analytical processing, and storage activities.

Big Data 52

Big Data Data Development Business Intelligence 52

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023.

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Metadata policy creation is essential to govern the management process. data cataloging).

Tools 59

Tools Technical Review Software Review Systems Review 59

Hu's Place - HitachiVantara

JUNE 5, 2019

32 data domain owners from governance, pricing, services, procurement, partners, sales, marketing, supply planning and IT were involved. Key to the success of a data lake or DataOps program is the active participation of the business domain owners. Business owners reported immediate benefits from this implementation.

Technical Review 40

Technical Review Analytics Data Engineering Scalability 40

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 116

Business Intelligence Tools Artificial Inteligence Technical Review 116

CIO

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments.

Artificial Inteligence 323

Artificial Inteligence Generative AI Government Architecture 323

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. ServerSpace.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Kentik

JULY 10, 2018

The collection of massive amounts of streaming telemetry requires a high-speed data pipeline for ingesting data in real time and distributing it to the appropriate monitoring and analytics tools. Streaming analytics engines consume and process data for generating operational insights in real time.

Tools 45

Tools Cloud Big Data WAN 45

CIO

DECEMBER 21, 2022

So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions.

Pharmaceuticals 328

Pharmaceuticals Business Intelligence Technical Review Government 328

Exadel

FEBRUARY 27, 2023

This strategy may cover cleaning and organizing data, storing it in a format that is easily accessible, and setting up data governance policies to ensure that data is consistently collected and managed. Thinking beyond isolated PoCs will help you avoid AI scalability issues, too.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence How To Technical Review 52

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Cloudera

NOVEMBER 19, 2020

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. Modernization has been a boon to government. Some experts estimate the U.S.

Government 120

Government Artificial Inteligence Machine Learning Data 120

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data 98

Data Technical Review Storage Systems Review 98

Altexsoft

APRIL 5, 2021

Unsuitable for on-demand or real-time analytics. ETL technologies are intended for the following use cases: Business Intelligence. Social media data, consumer information, and web analytics are common examples of marketing data that is moved by the ETL process for further analysis. Use Cases of ETL. Conclusion.

Company 78

Company Data Technical Review Analysis 78

Datavail

AUGUST 19, 2021

We’ve done a lot of research on this question, and we’ve compiled that research into a list of the most critical benefits organizations are looking for in terms of business intelligence (BI) systems that provide data analytics. Business leaders want the ability to do self-service data exploration and discovery.

Analytics 98

Analytics Data Business Intelligence Media 98

CIO

MARCH 2, 2023

Fast and accurate data extraction will speed up transactions and automation capabilities, and be the foundational technology within any business intelligence or data analytics platform, enabling better collaboration and B2B communications, he says. million consumers. Estimated readings for our customers stood at 2.2%

Artificial Inteligence 358

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 358

CIO

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.

Artificial Inteligence 298

Artificial Inteligence Data Artificial Intelligence Analytics 298

TechCrunch

DECEMBER 14, 2021

After that, there are different business intelligence, reporting and data visualization tools that help you take advantage of the data that you have stored in your warehouse. This is where Carto comes along with a product specialized on spatial analytics. Companies use products like Amazon Redshift, Google BigQuery or Snowflake.

Data 234

Data Telecommunications Transportation Analysis 234

CTOvision

JULY 9, 2014

The term “Big Data” has come to focus on these characteristics and imply that traditional database architectures, such as on line transaction processing (OLTP) and on line analytic processing (OLAP) purpose-built technologies simply will not scale to meet your data capacity needs. Another issue with schema-based systems is scalability.

Big Data 114

Big Data Data CTO Fractional CTO 114

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Datavail

JUNE 8, 2023

From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone. I’ll recap our presentations and everything else the Datavail team learned at Data Summit 2023.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. Data quality issues deter trust and hinder accurate analytics. Citizens who have negative experiences with government services are less likely to use those services in the future. Forrester ). Towards Data Science ).

Architecture 82

Architecture Data Artificial Inteligence Artificial Intelligence 82

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Cloudera

JUNE 30, 2022

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. This allows our customers the freedom to choose their preferred analytic tool. Concurrent multi-function analytics to deliver end-to-end data lifecycle needs, from edge to AI.

Data 91

Data Analytics Machine Learning Artificial Inteligence 91

Perficient

MARCH 14, 2023

Here is a high-level overview of the blog series: Blog 1 Summary: Driving ROI in Healthcare with Data and Analytics Modernization Most healthcare organizations we work with have taken some steps towards modernizing their data and analytics capabilities. You can find the full blog series, here.

Data 64

Data Healthcare AWS Analytics 64