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.

Big Data 124

Big Data Data Strategy Strategy Reporting 124

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 […].

Big Data 68

Big Data Marketing Data Architecture IT 68

datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. Today, big data is about business disruption.

IT 317

IT Statistics KPI Data-driven 317

AWS Big Data

OCTOBER 29, 2024

The CDH serves as a centralized repository for petabytes of data from engineering, manufacturing, sales, and vehicle performance and provides BMW employees with a unified view of the organization and acts as a starting point for new development initiatives.

Data Lake 109

Data Lake Sales Metadata Machine Learning 109

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.

Business Analytics 130

Business Analytics Analytics Big Data Data Quality 130

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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Big Data Statistics Experimentation Data Strategy 98

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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Big Data Technology Data Strategy Business Intelligence 59

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.

Big Data 52

Big Data Data Analytics Analytics Forecasting 52

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.

Big Data 52

Big Data Data Analytics Management Analytics 52

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.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

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.

Big Data 126

Big Data Marketing Strategy Sales 126

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.

Big Data 58

Big Data Data Strategy Business Intelligence Strategy 58

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.

Data-driven 106

Data-driven Big Data Metrics Strategy 106

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.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

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 […].

Advertising 52

Advertising Big Data Data Analytics Analytics 52

AWS Big Data

DECEMBER 4, 2024

This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division. About the Authors Leo Ramsamy is a Platform Architect specializing in data and analytics for ANZ’s Institutional division.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

CIO Business Intelligence

MARCH 21, 2022

Finance: Data on accounts, credit and debit transactions, and similar financial data are vital to a functioning business. But for data scientists in the finance industry, security and compliance, including fraud detection, are also major concerns. Data scientist skills. What does a data scientist do?

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

CIO Business Intelligence

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 Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

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.

Business Intelligence 40

Business Intelligence Marketing Big Data Data Strategy 40

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.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

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.

Big Data 45

Big Data Enterprise IT Data Strategy 45

CIO Business Intelligence

NOVEMBER 28, 2023

In reality MDM ( master data management ) means Major Data Mess at most large firms, the end result of 20-plus years of throwing data into data warehouses and data lakes without a comprehensive data strategy. Contributing to the general lack of data about data is complexity.

Management 131

Management Data Architecture Data Lake Data Strategy 131

TDAN

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Predictive Modeling 115

Predictive Modeling Modeling Data mining Big Data 115

Smart Data Collective

SEPTEMBER 26, 2019

Even the data businesses use has the option to become smart when business intelligence practices come into play. Around 80% of companies indicate worries about their ability to keep up with the massive amounts of data generated by the IoT and make sense of everything. Develop a Big Data Strategy.

Internet of Things 93

Internet of Things IoT Cost-Benefit Insurance 93

CIO Business Intelligence

OCTOBER 13, 2023

Cloud data architect: The cloud data architect designs and implements data architecture for cloud-based platforms such as AWS, Azure, and Google Cloud Platform. Data security architect: The data security architect works closely with security teams and IT teams to design data security architectures.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

TDAN

NOVEMBER 5, 2019

Not looking forward to your next meeting? We don’t blame you. Meetings can be hard to sit through, not to speak of being productive. Making an important decision everyone can agree on is not easy. Intuition has a lot to do with making decisions. There never seem to be enough resources, with time being the […].

Big Data 61

Big Data Data Strategy Business Intelligence Strategy 61

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.

Data-driven 97

Data-driven Management Big Data Sales 97

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.

Data Lake 121

Data Lake Sales Data Warehouse Snapshot 121

TDAN

MAY 18, 2021

COVID-19 has made companies large and small pivot their businesses. There is a way to avoid some of these undesirable situations with the use of big data. They might change the variety of products, freeze hiring, or let employees go to stay afloat. Companies need to tighten their purse strings as the future of the […].

Data Science 99

Data Science Big Data Data Strategy Business Intelligence 99

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 […].

Big Data 52

Big Data IT Data Strategy Business Intelligence 52

TDAN

JUNE 15, 2022

Given that the global big data market is forecast to be valued at $103 billion in 2027, it’s worth noticing. As the amount of data generated […]. “Information is the oil of the 21st century, and analytics is the combustion engine,” says Peter Sondergaard, former Global Head of Research at Gartner. And he has a point.

Data mining 98

Data mining Big Data Forecasting Marketing 98

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, 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.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

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% […].

Machine Learning 98

Machine Learning Data Quality Data Strategy Strategy 98

Smart Data Collective

NOVEMBER 30, 2020

With so many baskets to juggle in modern business, it is little wonder that more and more businesses are turning to various forms of automation to help ease their workload. They have found big data automation to provide an even higher ROI than traditional analog automation technology that became widely adapted in the mid-1900s.

Big Data 99

Big Data Data Lake ROI Data-driven 99

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.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

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.

Optimization 98

Optimization B2B Data Quality Sales 98

CIO Business Intelligence

JUNE 23, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. Sure we can help you secure, manage, and analyze PetaBytes of structured and unstructured data.

IT 97

IT Data Architecture Unstructured Data Big Data 97