CIO

MARCH 24, 2023

The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Such a framework provides your organization with a holistic approach to collecting, managing, securing, and storing data.

Government 357

Government Data Technical Review Policies 357

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

CTOvision

JULY 9, 2014

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, and “What is its business value?”. What is Big Data? To gain value from this data, you must choose an alternative way to process it.”

Big Data 114

Big Data Data CTO Fractional CTO 114

CTOvision

SEPTEMBER 17, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Big Data 105

Big Data Fractional CTO Government CTO 105

CIO

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

CIO

SEPTEMBER 18, 2023

According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%).

Technical Review 340

Technical Review Pharmaceuticals Security Training 340

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Enterprise 75

Enterprise Data Virtualization Strategy 75

Perficient

FEBRUARY 16, 2023

This is the second blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks.

Data 110

Data Google Cloud Analytics Cloud 110

CIO

FEBRUARY 6, 2023

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. Most technology functions of businesses today are SaaS-driven. That’s where business intelligence (BI) apps and tools come in.

Business Intelligence 228

Business Intelligence Small Business Weak Development Team Analytics 228

Existek

NOVEMBER 22, 2021

Need an enterprise app to boost your business efficiency but don’t know where to start? This article will serve as a step-by-step guide to enterprise web development. Those solutions are designed for streamlining and automating the business processes, which can greatly benefit business owners. List of the Content.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Engaging the Hadoop Developer — Deep-dive with industry experts into the key projects, technology, and emerging trends driving the enterprise adoption of Hadoop.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Datavail

MARCH 24, 2020

With all the modern advancements in data management, organizations stand in need of a rock-solid data strategy. According to a survey by NewVantage Partners, 99 percent of Fortune 1000 executives want to create a data-driven culture, while just 32 percent believe they have achieved this goal.

Strategy 40

Strategy Data Policies Storage 40

Strategy Driven

AUGUST 27, 2015

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

Big Data 33

Big Data Data Storage Journal 33

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Chief Strategy Officer, Cloudera.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Data 59

Data Enterprise Strategy Organization 59

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Data 52

Data Enterprise Strategy Organization 52

Gorilla Logic

MAY 19, 2021

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Software outsourcing: the CEO’s best (not so) new business strategy. Let’s talk.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Strategy Driven

APRIL 29, 2023

Use Big Data Analytics (BDA) Big data analytics (BDA) involves analyzing large and complex data sets to gain insights and make data-driven decisions. BDA can help companies identify patterns and trends in their data, providing valuable insights into their prospects.

Data 37

Data Weak Development Team Real Estate Storage 37

Datavail

SEPTEMBER 2, 2021

Any application that needs to consolidate data from multiple sources presents a problem whether you’re working on-premises or in the cloud. You may need a master data management strategy to ensure that your product, customer, service, and supply data are consistent. If a customer is shown as L.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

CTOvision

SEPTEMBER 8, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

TechCrunch

AUGUST 24, 2022

That strategy has worked: “Stargazers” on Github are up 200% to more than 11,000 with the number of contributors doubling. But many find it hard to monetize in China, where small and medium enterprise owners are still reluctant to pay for software subscriptions compared to their Western corporate counterparts.

Open Source 199

Open Source Artificial Inteligence Comparison B2C 199

Datavail

JULY 7, 2022

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. Unstructured data. High data volumes.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Perficient

FEBRUARY 28, 2023

To meet the client’s needs, we began by discovering the current data & analytics capabilities and challenges across people, processes, and technologies, and worked to define a realistic future state vision, strategy, and plan to get there. But this solution was too costly and could not scale to meet their business needs.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

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 118

Business Intelligence Tools Artificial Inteligence Technical Review 118

Altexsoft

APRIL 5, 2021

In recent history, the unprocessed and raw information that we call data has gained an increasing amount of traction due to companies realizing its potential. For a layman, this is exactly what started the buzz around big data. Only useable for data-oriented developers or analysts. Use Cases of ETL.

Company 78

Company Data Technical Review Analysis 78

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. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Xebia

JANUARY 19, 2023

. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. – 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.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Strategy Driven

FEBRUARY 15, 2021

You could almost think about that driver as being on the receiving end of a firehose of data, sorting out the most important patterns, and then turning all of that into a best course of action — the very definition of Intelligence. But, what about agency, or intentionality, or what today we generally call strategy?

Big Data 26

Big Data Artificial Intelligence Artificial Inteligence Sport 26

TechCrunch

MARCH 9, 2022

As organizations continue to build out their digital architecture, a new category of enterprise software has emerged to help them manage that process. Ardoq is based out of Oslo and about 30% of its enterprise client base is in the Nordics; the rest is spread between Europe and the U.S. Federal Communications Commission. .

Architecture 246

Architecture Enterprise Network Organization 246

Altexsoft

OCTOBER 29, 2020

Here, we introduce you to ETL testing – checking that the data safely traveled from its source to its destination and guaranteeing its high quality before it enters your Business Intelligence reports. The terms “data warehouse testing” and “ETL testing” are often used interchangeably and that’s not a huge mistake.

Testing 63

Testing Tools Software Review Technical Review 63

Cloudera

SEPTEMBER 12, 2018

Enterprise Machine Learning: . AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness. Modern Data Warehousing: Barclays (nominated together with BlueData ). Technical Impact.

Artificial Inteligence 45

Artificial Inteligence Data Machine Learning Pharmaceuticals 45

Altexsoft

APRIL 23, 2019

But how to turn unstructured data chunks into something useful? The answer is business intelligence. We’ve already discussed a machine learning strategy. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. Source: Skydesk.jp.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

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. It provides data consumers with. Types of metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

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