CTOvision

JUNE 17, 2014

It it he analyzes the Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. We update our analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends. Big Data and Analytics: 74,350 (100%).

Big Data 103

Big Data Analytics Groups Data 103

CIO

DECEMBER 13, 2022

While “consumption” matters are just as critical, getting data supply right is essential to ensuring that data — and the insights it drives — are available and trustworthy. It’s a situation that calls for empowering the business to read, analyze, work, and even argue with data — effectively and confidently.

Analytics 158

Analytics Strategy Data Metrics 158

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

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

CTOvision

JANUARY 25, 2015

If you will be in Boston 30-31 Mar this is the place to be, the 2015 Chief Data Strategy Forum. Here is more from IQPC: Driving Improved Decision-Making Through Data-Centric Business Intelligence. Despite their rising significance, the role of Chief Data Officer remains ambiguous with ill-defined responsibilities.

Strategy 105

Strategy Data Business Intelligence Big Data 105

TechCrunch

JUNE 17, 2021

.” And the other issue is that metrics have become an increasingly important — maybe the most important — lever for decision making in the world of product design and wider business strategy for a tech (and maybe by default, any) company. How to ensure data quality in the era of Big Data.

Metrics 247

Metrics Tools Data Big Data 247

TechCrunch

FEBRUARY 7, 2022

In the current environment, businesses are now tasked with balancing the push toward recovery and developing the agility required to stay on top of reemerging COVID-19 obstacles. Location data is absolutely critical to such strategies, enabling leading enterprises to not only mitigate challenges, but unlock previously unseen opportunities.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

CIO

MARCH 9, 2022

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. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Artificial Inteligence 178

Artificial Inteligence Data Artificial Intelligence Analytics 178

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. Chief Strategy Officer, Cloudera. Eddie Garcia.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Daffodil Software

AUGUST 31, 2022

Nowadays, businesses can produce data analytics based on big data from numerous sources. Once they acquire access to all of the requisite data sources for analytics and business intelligence in order to make better decisions.

Data 98

Data Big Data Business Intelligence Analytics 98

CIO

JANUARY 20, 2023

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

CIO

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description. Data scientist skills.

Analytics 205

Analytics Data Technical Review Analysis 205

TechCrunch

JUNE 30, 2022

Snowplow , a platform designed to create data for AI and business intelligence applications, today announced that it raised $40 million in a Series B funding round led by NEA, Snowplow investors, Atlantic Bridge and MMC.

Data 187

Data Analytics Business Intelligence Google Cloud 187

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

CIO

AUGUST 18, 2022

Enter the data lakehouse. Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI).

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

N2Growth Blog

JANUARY 23, 2018

Some business leaders eager to keep a competitive advantage often invest in new technologies without fully understanding how to harness their potential or fully considering how digital technologies will meet the company’s needs. But not every business knows how to convert that data into actionable insights.

Innovation 84

Innovation Strategy Big Data Advertising 84

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

CIO

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Data Engineering 203

Data Engineering Analytics Engineering Data 203

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. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

Big Data 52

Big Data Data Development Business Intelligence 52

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ronald van Loon. Kirk Borne. Marcus Borba. Vincent Granville.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

Perficient

NOVEMBER 17, 2024

A data lakehouse is a unified platform that combines the scalability and flexibility of a data lake with the structure and performance of a data warehouse. Unified Data Storage Combines the scalability and flexibility of a data lake with the structured capabilities of a data warehouse.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

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

CTOvision

MARCH 9, 2016

Supermarkets are vying to win over shoppers as the supermarket war escalates with the arrival of cut price alternatives in the US, that have already gobbled up market share from the big brand players in Europe. Their strategy in Europe has been on price, back by sophisticated business analytics, and it has worked.

Retail 97

Retail Analytics Big Data Analysis 97

Perficient

OCTOBER 9, 2024

Netspring simplifies this by enabling businesses to conduct meaningful analytics directly from their data warehouse, eliminating data duplication and ensuring a single source of truth. With Netspring, businesses can: Run Product Analytics: Understand how users engage with specific products.

Analytics 97

Analytics Artificial Inteligence Artificial Intelligence Big Data 97

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. Table of contents 1.

Big Data 52

Big Data Analytics Data Analysis 52

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 214

Government Data Technical Review Policies 214

CIO

SEPTEMBER 18, 2023

Bob McCowan, SVP and CIO, Regeneron Regeneron To promote more cross-pollination of expertise, Regeneron has created pathways for scientists with some technology background and an interest in new areas such as big data and AI to be cultivated into a liaison role within the IT organization.

Technical Review 204

Technical Review Pharmaceuticals Security Training 204

Datavail

OCTOBER 29, 2019

Businesses of all sizes and industries are hungry both for big data and for the digital technologies that convert it into intelligent, valuable insights. Competition in the big data space is fierce, and trends are changing fast. Keep reading for our analysis of Data Trend #1: Data Management is Still Hard.

Big Data 40

Big Data Trends Data Business Intelligence 40

CTOvision

JUNE 9, 2016

Why your CTO Makes or Breaks your Enterprise Mobile Strategy. The reality however is that many enterprises are struggling to embrace mobile as a key part of their strategy for growth. Despite having some responsive websites, or even an app or two, mobile is not yet part of the enterprise core strategy to drive growth.

Mobile 64

Mobile Enterprise Strategy Business Intelligence 64

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

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

SEPTEMBER 20, 2023

And in charge of the group’s technological strategy and digitalization processes is global CIO Vanessa Escrivá. The personalization of services and products is going to be fundamental in the insurance sector,” she says, an aspect she’s spearheading, along with a commitment to data and AI. The third pillar of our strategy is data.

Cloud 148

Cloud Insurance Strategic Planning Strategy 148

Cloudera

DECEMBER 1, 2023

One notable example of a government initiative that has shaped the AI landscape is the United States’ federal AI strategy. Launched in 2019, this strategy aims to position the US as a leader in AI research, development, and deployment. This strategy has spurred a wave of AI innovation within the public sector.

Data 109

Data Government Artificial Inteligence Artificial Intelligence 109

N2Growth Blog

SEPTEMBER 5, 2024

The CSO shapes business strategies that balance economic growth with ecological and social impact, turning sustainability into a powerful lever for innovation and brand strength. Partnering with top search firms like N2Growth is invaluable for finding a CSO who can elevate sustainability into a core business strategy.

Sustainability 88

Sustainability Culture Innovation Trends 88

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

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