CTOvision

OCTOBER 28, 2018

Self-Service Analytical tools like Tableau, Qlik, and Power BI are enabling business users to perform reporting and analytics on their own with little to no support from the IT organization. This trend has evolved due to several factors including: Organizations are flooded with data and IT organizations are not […].

Business Intelligence 101

Business Intelligence Analytics Trends Report 101

The Accidental Successful CIO

JUNE 26, 2013

One of the things that makes having the CIO job different today from how it was in the past, besides the growing awareness of the importance of information technology, is the arrival of so-called “big data” We’re talking about terabytes or even petabytes of data and all of the headaches that come along with it.

Big Data 74

Big Data Data Analytics Innovation 74

CTOvision

DECEMBER 16, 2014

Widely know in enterprise technology circles for their advanced analytics, business intelligence and enterprise data management capabilities, SAS is continuing to invest in innovation, partnering and mission focused application development. Big Data Solutions (with Hadoop). In-Memory and In-Data Base Analytics.

Big Data 84

Big Data Business Intelligence Analytics Technical Review 84

TechCrunch

FEBRUARY 23, 2022

However, for private companies, it is hard to know exactly why there was an increase in costs last week — was it due to the company’s performance or happening to everyone else, too. E-commerce companies are data-driven, but typically only have their own historical data to go by, Yarden Shaked told TechCrunch.

Company 285

Company Apparel Technical Review Digital Marketing 285

CIO

MARCH 24, 2023

Doing so can help companies remain responsive, especially as they grow to a size in which it is no longer efficient for individuals to perform cross-functional tasks. Several of the overall benefits of data management can only be realized after the enterprise has established systematic data governance.

Government 356

Government Data Technical Review Policies 356

Datavail

SEPTEMBER 2, 2021

The questions you’ll need to answer will depend on where your organization is in terms of Business Intelligence (BI) maturity. In general, your organization will move through five stages of maturity and will need different tools at each stage: Running the business: Reports that show what happened in the business.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

Actian

FEBRUARY 6, 2020

Stream data integration is the way you do that. The Exciting Challenge of Big Data. For nearly a decade, analysts and industry experts have been talking about Big Data and the impact that it was going to have on organizations. Big data isn’t an “emerging trend’ anymore – it’s a business reality.

Data 40

Data Big Data Analytics Business Intelligence 40

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

Perficient

FEBRUARY 28, 2023

For some background, this client experienced significant growth through acquisition over the past few years, which left their data sprawled across many systems. This data sprawl required significant manual effort to create operational and financial performance dashboards across operating units.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

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. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

JANUARY 19, 2014

I reviewed a years worth of reporting at CTOvision.com, FederalTimes, SiliconANGLE, Mashable and TechCrunch with an eye to the technology stories I believe had the biggest impact on the federal enterprise in 2013. This is the big data news of 2013, from a technology perspective. Business Intelligence 2.0:

Technical Review 109

Technical Review Technology Business Intelligence Systems Review 109

DevOps.com

DECEMBER 10, 2018

Four Vs drive big data solutions: volume, velocity, variety and veracity. Key performance indicator, or KPI, […]. Volume and velocity are technical considerations usually receiving a healthy dose of attention among architects and coders.

KPI 105

KPI Analysis DevOps Big Data 105

Hu's Place - HitachiVantara

JUNE 18, 2019

Scott Baker, posted a blog IDC: Object Storage More Than A One Trick Pony , which expanded on this IDC report and showed how our Object Storage platform, Hitachi Content Platform, HCP, evolved from a t rue archival compliance tool to one fine-tuned for Big Data analytics.

Storage 66

Storage Software Review Banking Technical Review 66

Gorilla Logic

MAY 19, 2021

KPMG reports that 67 percent of tech leaders struggle to find the right tech talent, and 22 percent of organizations surveyed by Coding Sans ranked increasing development capacity as their top challenge. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Cloud capabilities for software outsourcing.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Hacker Earth Developers Blog

JUNE 26, 2019

Also, the candidate should have knowledge of the different metrics used to evaluate the performance of a model. . Business /Domain Knowledge. The candidate should have a basic understanding of business or the industry in which he is applying as a data scientist. Data mining : This refers to handling and cleaning data.

Data 200

Data How To Recruiting Machine Learning 200

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. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

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 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Users can easily create a wide range of data-intensive, yet intelligible reports and dashboards and share obtained insights. What is Power used for?

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

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

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. And there’s a big risk that it might happen. How and where the data will be loaded.

Testing 63

Testing Tools Software Review Technical Review 63

Hacker Earth Developers Blog

JUNE 26, 2019

Also, the candidate should have knowledge of the different metrics used to evaluate the performance of a model. . Business /Domain Knowledge. The candidate should have a basic understanding of business or the industry in which he is applying as a data scientist. Data mining : This refers to handling and cleaning data.

Data 100

Data How To Recruiting Machine Learning 100

Datavail

JUNE 6, 2019

Companies of all sizes and industries are hungry for business insights, and they’re willing to pay big bucks to get them. According to forecasts by market intelligence firm IDC, global revenues for big data and analytics solutions will hit $260 billion by 2022 , with a compound annual growth rate of 12 percent.

Tools 75

Tools Artificial Inteligence Analytics Artificial Intelligence 75

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

CTOvision

MARCH 12, 2015

Apply custom analytics pipelines to your data as it comes in, choosing from a comprehensive library of functions like sums, percentiles, moving averages, and standard deviations. Append additional metadata on data already in SignalFx to enable more efficient searching. Multidimensional Metrics & Flexible Metadata.

Applications 86

Applications Metrics Weak Development Team Analytics 86

Altexsoft

AUGUST 31, 2020

But more importantly, they enable us to process the growing amount of accumulated medical data. The data is already being stored digitally: more than 95 percent of health facilities report implementing Electronic Health Records (EHR) systems. The result as Health Catalyst reports : Annual revenue increased by $8.3

Healthcare 72

Healthcare Analytics Examples Data 72

Altexsoft

SEPTEMBER 6, 2018

An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Our clients considered working with large datasets a big data problem. Big data analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

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

Cloudera

SEPTEMBER 12, 2018

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. The lab uses Cloudera running on Cazena’s Fully-Managed Big Data as a Service on Amazon Web Services (AWS). Special Impact.

Artificial Inteligence 44

Artificial Inteligence Data Machine Learning Pharmaceuticals 44

Existek

NOVEMBER 22, 2021

Web apps have proven themselves as good performing, quickly responding, scalable, and easy to maintain. Web development is suitable for any business size, but the larger the company is, the more the application’s complexity grows. First of all, enterprise solutions have to be highly scalable and perform well. Accounting.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

CIO

APRIL 10, 2024

Higher-level languages, automation, low-code and no-code development platforms, and better programming environments have been gradually reducing the need for IT staff to perform low-level, routine tasks for years so they can take on more innovative challenges. In fact, people normally gain emotional intelligence with age, he says.

Artificial Inteligence 335

Artificial Inteligence Generative AI Training Coaching 335

DevOps.com

MAY 28, 2021

Software product managers and developers typically treat analytics as a standalone capability—something to be integrated into their application’s dashboard or reporting module. When data analytics is […]. As a product feature, analytics is undoubtedly a valuable tool.

Analytics 70

Analytics Enterprise Product Management Report 70

TIBCO - Connected Intelligence

SEPTEMBER 20, 2019

One of the main objectives with implementing cutting-edge analytics and data management technology is to provide more timely analysis to improve their understanding, planning, and performance evaluation process. Each one is different, but they all work together to effectively and efficiently manage data.

Analytics 20

Analytics Business Intelligence Big Data Enterprise 20

Altexsoft

APRIL 23, 2019

But how to turn unstructured data chunks into something useful? The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. What is business intelligence? Data cleaning/standardization.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93