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.

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Big Data Data Analytics Innovation 74

CIO

APRIL 22, 2022

Candidates with a statistics background are popular, especially if they can demonstrate they know whether they are looking at real results; have domain knowledge to put results in context; and communication skills that allow them to convey results to business users. Data science certifications. Data science teams.

Data 210

Data Artificial Inteligence Machine Learning Analytics 210

CIO

MARCH 21, 2022

Website traffic data, sales figures, bank accounts, or GPS coordinates collected by your smartphone — these are structured forms of data. Unstructured data, the fastest-growing form of data, comes more likely from human input — customer reviews, emails, videos, social media posts, etc.

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Analytics Data Analysis Technical Review 205

Dion Hinchcliffe's Web 2.0 Blog

JANUARY 11, 2012

While 2011 was a busy year, I’m expecting 2012 to be a breakout year for a number of key subject areas that I work with closely. The run up of social business over the last five years has been phenomenal but there’s a general sense now that it’s about to go truly mainstream.

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Social Conference Media Enterprise 98

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.

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Big Data Analytics Tools Applications 78

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.

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Big Data Business Intelligence Analytics Technical Review 84

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.

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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.

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CTOvision

SEPTEMBER 8, 2014

SOCIAL IMPACT. 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.

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Fractional CTO CTO Software Review Technical Review 105

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.

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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.

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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.

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Fractional CTO Program Management Programming Big Data 113

O'Reilly Media - Data

MAY 3, 2018

Once we have data securely in place, we proceed to utilize it in two main ways: (1) to make better decisions (BI) and (2) to enable some form of automation (ML). Business intelligence and analytics. I believe that the data science and big data communities are well-positioned to contribute to both automation and decentralization.

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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.

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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.

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TechCrunch

APRIL 12, 2022

But Li tells TechCrunch that both Kubit’s revenue and headcount (13 people) is projected to triple this year, driven by a growing customer base that includes “several largest enterprises in entertainment, social and education fields.” ”

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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. This holistic approach aligns with the company’s social responsibility and enhances its reputation among stakeholders, investors, and customers.

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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.

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N2Growth Blog

JANUARY 23, 2018

Businesses must also take advantage of customer telemetry, Big Data, generated by activity on websites, mobile devices, and social media, to create a more personalized experience — both in-house and online. But not every business knows how to convert that data into actionable insights.

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Innovation Strategy Big Data Advertising 84

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.

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Big Data Data Storage Journal 33

CTOvision

NOVEMBER 29, 2016

Commercial corporations in the Internet Age face endlessly growing data asset management – but traditional business technology isn’t the way to help, argues Neo Technology’s Emil Eifrem. Digital consumers are generating data at an exponential rate, via social networking, emails, blogs and smartphones.

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Healthcare Analytics Network Media 101

Cloudera

DECEMBER 19, 2018

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

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Analytics Trends Data Big Data 52

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Data warehouse architecture. Analytics maturity model.

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Analytics Technical Review Technology Applications 102

Apiumhub

APRIL 6, 2021

You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills. Data Science Central Data Science Central acts as an online resource hub for just about everything related to data science and big data.

Data 52

Data Technical Review Artificial Inteligence Software Review 52

Altexsoft

FEBRUARY 3, 2020

A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors. This is only one but a very important parameter that proves the power of big data in modern business operations. What does it mean in practical terms? What does it mean?

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Analytics Tools Data Artificial Inteligence 87

Apiumhub

AUGUST 28, 2018

It is a cloud-based big data analytics platform, built to improve data-driven decision making. Axieme is a first social insurance startup. These startups came up with interesting projects that make the insurance industry much more pleasant for the end users. InsurTech startups to keep an eye on in 2018. Worry+Peace.

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Insurance Technical Review Artificial Inteligence Policies 96

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. ETL technologies are intended for the following use cases: Business Intelligence.

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Company Data Technical Review Analysis 78

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.

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Company Off-The-Shelf Data Software Review 63

Apiumhub

APRIL 27, 2021

However, making sense of the huge volumes of structured and unstructured data to implement organization-wide improvements can be extremely challenging because of the huge amount of information. What is Data Mining. Data warehousing Data warehousing is an important part of the data mining process.

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Altexsoft

DECEMBER 14, 2020

Unstructured data examples. There is a wide array of forms that make up unstructured data such as email, text files, social media posts, video, images, audio, sensor data, and so on. The travel agency Facebook post: an example of unstructured data. The key differences between structured and unstructured data.

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Data Artificial Inteligence Storage Analytics 93

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. High data volumes.

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Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Altexsoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Traditional data warehouse platform architecture. Data lake architecture example. Poor data quality, reliability, and integrity.

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Architecture Data Storage Artificial Inteligence 52

Exadel

AUGUST 26, 2020

Data Analytics for Better Business Intelligence. Data is king in the modern business world. Thanks to technology, collecting data from just about any aspect of a business is possible — including tracking customers’ activity, desires and frustrations while using a product or service.

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Altexsoft

JANUARY 24, 2020

Business Analytics (MS) lays right at the intersection of business, technology, and data. The ten-month program educates business data scientists by covering such fields of knowledge as data visualization, machine learning, operating big data, social network analytics, business analytics, and more.

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Education Analytics Recruiting Programming 99

Altexsoft

OCTOBER 2, 2020

Specialist responsible for the area: data architect, data engineer, ETL developer. Companies acquire data from multiple sources — manual entries, IoT devices, payment processors, CRMs, CMSs, eCommerce platforms, web and mobile analytics tools, social media. Snowflake data management processes.

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Strategy Database Administration Data Technical Review 64

Altexsoft

AUGUST 31, 2020

Collecting data and making sense of it to predict health conditions of individuals is a primary task of healthcare analytics. To learn general terms of data processing, take a look at our business intelligence article. What are the other opportunities of data analytics in healthcare?

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Healthcare Analytics Examples Data 72

Altexsoft

JUNE 14, 2021

Data obtained from social media activity, fitness trackers, GPS, and other tech can help you serve customers better. On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. How data engineers and data platforms work.

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