Smart Data Collective

DECEMBER 10, 2023

Big data technology has been extremely valuable for businesses of all sizes and in all industries. However, many companies still are not using big data to its full potential. According to one survey cited by Dataversity, only 53% of companies report having formalized data strategies.

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TDAN

JULY 18, 2023

Businesses today rely on real-time big data analytics to handle the vast and complex clusters of datasets. Here’s the state of big data today: The forecasted market value of big data will reach $650 billion by 2029.

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BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Big Data Ecosystem.

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Big Data Data Analytics Management Unstructured Data 52

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

TDAN

APRIL 19, 2022

Consumers’ digital footprint is increasing in the personalized era of Advertising and Marketing, and Big Data Analytics will help businesses achieve high customer retention rate. Big data has become a buzzword in today’s competitive era. Recent advancements in big data technology […].

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Advertising Big Data Data Analytics Analytics 52

TDAN

SEPTEMBER 5, 2023

Data driven marketing strategies supported by customer insights can significantly boost the customer experience, leading to higher customer retention rates.

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Data-driven Strategy Marketing IT 52

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

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TDAN

MARCH 31, 2020

Big data has been one of the most discussed topics of the last few years. Since the term “big data” was introduced in the 1940s, technologies have developed and now we live in a world that depends on data. We produce data all the time, and […]. However, this term has been around for a while.

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TDAN

AUGUST 20, 2019

Gathering business intelligence is a process that starts from within. Collating internal intelligence is of vital importance before searching the market. Oftentimes, the internal departments of your business will offer better suggestions and methods than any others you can find.

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Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. One of the biggest issues pertains to data quality.

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CIO Business Intelligence

NOVEMBER 28, 2023

This means excelling in the under-the-radar disciplines of data architecture and data governance. Emotionally, culturally, and psychologically data management has to be rebranded — in the words of Sumathi Thiyagarajan , VP of business strategy and analytics for the Milwaukee Bucks — as “joyous” work.

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TDAN

SEPTEMBER 17, 2019

Did you know that 90% of all data has been generated over the last 2 years? Big Data has been an important topic in the marketing scene for quite some time. It has been a major challenge for Chief Marketing Officers (CMOs) because it’s not easy to organize and extract useful insights from massive amounts of […].

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Big Data Marketing Data Architecture IT 68

Srividya Sridharan

OCTOBER 22, 2019

It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. Over 300 data and analytics leaders will gather to share, learn and get inspired!

Strategy 83

Strategy Data Analytics Analytics Data Strategy 83

TDAN

JANUARY 3, 2023

Have you ever considered the value of data? Let me ask you a question: Where does data typically start? Data usually begins somewhere in a hard drive, warehouse, NAS (network-attached storage), server or some other system that can store data. When data is collected and stored, it […].

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Big Data IT Data Strategy Business Intelligence 52

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

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CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

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Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. However, many small businesses don’t know how to utilize it. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today.

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TDAN

DECEMBER 3, 2019

When it comes to marketing, business owners need to be fast in adjusting their strategies to fit the continuous advancement in technologies. Today, nearly everyone has a mobile phone or another smart mobile device with them at all times.

Marketing 64

Marketing Strategy Statistics Technology 64

TDAN

NOVEMBER 19, 2019

Big data has rapidly developed over the last years. The primary reason for this rise that big data provides long term value to enterprises. Value is not just secured in terms of immediate monetary or social gain, but also in the form of competitive advantage.

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Big Data Enterprise IT Data Strategy 45

TDAN

JULY 2, 2019

No doubt, every organization requires valuable data to understand the needs and preferences of their customers and target audience. If you are operating a business, then you may also know the importance of big data. The data needs to be properly presented and analyzed.

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Big Data Data Strategy Business Intelligence Strategy 58

FineReport

DECEMBER 11, 2019

In the past few years, the term “data science” has been widely used, and people seem to see it in every field. Big Data”, “Business Intelligence”, “ Data Analysis ” and “ Artificial Intelligence ” came into being. For a while, everyone seems to have begun to learn data analysis. From Google.

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Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately.

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Smart Data Collective

APRIL 3, 2022

There is no doubt that big data is important in many organizations. Over 65% of large companies invested over $50 million in big data in 2020. You are talking about data, sure, but what kind of data ? Finding the right data sets and knowing how to use them is key to any data implementation strategy.

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Smart Data Collective

JULY 26, 2023

Big data has become an invaluable aspect to most modern businesses. Nevertheless, many companies have been reluctant to Harvard Business Review reports that only 30% of businesses have a data strategy. However, companies with data strategies are far more successful than those without.

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IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

TDAN

MAY 3, 2022

This column focuses on challenges of edge computing and explore strategy considerations for implementing and utilizing edge computing in the organization.

Strategy 52

Strategy Cost-Benefit Management Data Architecture 52

TDAN

APRIL 5, 2022

Regardless of how accurate a data system is, it yields poor results if the quality of data is bad. As part of their data strategy, a number of companies have begun to deploy machine learning solutions. In a recent study, AI and machine learning were named as the top data priorities for 2021, by 61% […].

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Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

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Modeling Big Data IoT Data Warehouse 84

Octopai

APRIL 19, 2021

Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. He is the Director of TDWI Research for business intelligence.

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Metadata Management Business Intelligence Data Governance 52

TDAN

MARCH 2, 2021

It’s estimated that individuals in the US are exposed to between 4000 and 10,000 advertisements per day. Despite all that input, people generally retain only a maximum of 3 messages. If you’re a marketer, you know how challenging it is to craft the perfect message for your audience – ensuring it is both authentic and personalized.

Marketing 105

Marketing Strategy Advertising IT 105

erwin

JANUARY 17, 2020

Companies that want to advance artificial intelligence (AI) initiatives, for instance, won’t get very far without quality data and well-defined data models. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. Data Modeling Best Practices.

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datapine

JANUARY 24, 2021

It is not just important to gather all the existing information, but to consider the preparation of data and utilize it in the proper way, has become an indispensable value in developing a successful business strategy. That being said, it seems like we’re in the midst of a data analysis crisis.

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CIO Business Intelligence

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.

Unstructured Data 135

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TDAN

MARCH 1, 2022

Why Differential Privacy Overcomes Many of the Fatal Flaws of De-Identification and Data Masking If data is the new oil, then privacy is the new environmentalism. With the growing use of data comes the need for strong privacy protections.

Strategy 98

Strategy IT Data Strategy Business Intelligence 98

AWS Big Data

JULY 13, 2023

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better.

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Optimization B2B Data Quality Sales 87

Smart Data Collective

JANUARY 9, 2023

By strategically taking advantage of these innovative technologies to glean powerful insights from data, organizations can truly maximize the value of the data that they have access to. Here is a strategic approach to maximize your data’s value. Accurately Informing Marketing Strategies. What Is AI and Machine Learning?

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Machine Learning Software Strategy Marketing 125

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

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