Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Every business needs a go-to-market strategy or the GTM strategy to reach the target customers and stay ahead of their competitors.

Marketing 137

Marketing Data Analytics Analytics Big Data 137

CIO Business Intelligence

JANUARY 5, 2025

According to PwC, organizations can experience incremental value at scale through AI, with 20% to 30% gains in productivity, speed to market, and revenue, on top of big leaps such as new business models. [2]

Enterprise 124

Enterprise Cost-Benefit Unstructured Data Data Quality 124

Smart Data Collective

OCTOBER 3, 2019

They cited one study showing that 40% of businesses need to use unstructured data on a nearly daily basis. One of the ways that businesses can gain an edge is with digital marketing strategies that hinge on big data. Big Data Helps Small Businesses Excel with Digital Marketing.

Data-driven 102

Data-driven Marketing Big Data Machine Learning 102

CIO Business Intelligence

NOVEMBER 19, 2024

The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both. Imagine that you’re a data engineer. The data is spread out across your different storage systems, and you don’t know what is where. How did we achieve this level of trust?

Management 116

Management Unstructured Data Deep Learning Metadata 116

Smart Data Collective

JUNE 7, 2019

Data, for instance, has to be processed fast so that the companies can keep up to the changing business and market conditions in real time. This is where real-time stream processing enters the picture, and it may probably change everything you know about big data. What is Big Data? What is Big Data?

Big Data 104

Big Data Marketing Cost-Benefit Unstructured Data 104

Sisense

APRIL 26, 2020

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Unstructured data.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

JANUARY 24, 2024

“Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake. Overlooking these data resources is a big mistake.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Analytics Vidhya

OCTOBER 23, 2023

Introduction In today’s highly competitive market, businesses strive to understand and resolve consumer complaints effectively. Consumer complaints can shed light on a wide range of issues from product defects and poor customer service to billing errors and safety concerns.

Marketing 330

Marketing Analytics Unstructured Data 330

Analytics Vidhya

DECEMBER 14, 2022

Introduction to the Problem Hiring is one of the most challenging market segments to capture due to multiple reasons. One of the challenges faced during the hiring stage is shortlisting the relevant profiles for a particular job description. This is one of the key steps in the hiring process.

Marketing 320

Marketing Analytics Unstructured Data 320

CIO Business Intelligence

AUGUST 21, 2024

Importantly, such tools can extract relevant data even from unstructured data – including PDFs, email, and even images – and accurately classify it, making it easy to find and use. Users can get business-specific answers, not generic answers like with consumer large language models, to make better-informed decisions.”

Management 134

Management Enterprise Unstructured Data Deep Learning 134

O'Reilly on Data

SEPTEMBER 19, 2023

This is the power of marketing.) But the grouping and summarizing just wasn’t exciting enough for the data addicts. While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.”

Machine Learning 342

Machine Learning Testing Modeling Cost-Benefit 342

Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

David Menninger's Analyst Perspectives

APRIL 24, 2025

As enterprises embrace the potential opportunities presented by artificial intelligence (AI), they are quickly finding that good data management is a prerequisite. As was explained in ISGs State of Generative AI Market Report , AI requires data that is clean, well-organized and compliant with regulatory standards.

Unstructured Data 130

Unstructured Data Machine Learning Software Data Processing 130

Smart Data Collective

MAY 13, 2022

This means feeding the machine with vast amounts of data, from structured to unstructured data, which will help the device learn how to think, process information, and act like humans. As unstructured data comes from different sources and is stored in various locations. Takes advantage of predictive analytics.

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

CIO Business Intelligence

JULY 16, 2024

By John Laffey, VP, Product Marketing, DataStax. And you might know that getting accurate, relevant responses from generative AI (genAI) applications requires the use of your most important asset: your data. But how do you get your data AI-ready? You might think the first question to ask is “What data do I need?”

Unstructured Data 105

Unstructured Data Structured Data Machine Learning Enterprise 105

Smart Data Collective

SEPTEMBER 16, 2022

The market was worth over $112 billion last year. While the market is growing and creating more opportunities for fintech entrepreneurs, the stakes are also higher than ever. Fintech in particular is being heavily affected by big data. The financial sector receives, processes, and generates huge amounts of data every second.

Unstructured Data 130

Unstructured Data Finance Cost-Benefit Big Data 130

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

Smart Data Collective

OCTOBER 27, 2021

The application presents a massive volume of unstructured data through a graphical or programming interface using the analytical abilities of business intelligence technology to provide instant insight. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights.

Interactive 130

Interactive Analytics Unstructured Data Data Warehouse 130

datapine

DECEMBER 4, 2019

Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. Considered a new big buzz in the computing and BI industry, it enables the digestion of massive volumes of structured and unstructured data that transform into manageable content. in the last 5 years.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Rocket-Powered Data Science

MAY 21, 2024

One example of Pure Storage’s advantage in meeting AI’s data infrastructure requirements is demonstrated in their DirectFlash® Modules (DFMs), with an estimated lifespan of 10 years and with super-fast flash storage capacity of 75 terabytes (TB) now, to be followed up with a roadmap that is planning for capacities of 150TB, 300TB, and beyond.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

DataKitchen

APRIL 13, 2021

Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice.

Testing 304

Testing Machine Learning Consulting Data Science 304

CIO Business Intelligence

JUNE 6, 2024

It unifies data from all customer meetings to identify cross-company and help enterprises adapt their go-to-market strategy accordingly. The company also added another capability that it calls Sales Signals to the Sales Cloud to help build a sales pipeline.

Sales 126

Sales Unstructured Data Enterprise Dashboards 126

datapine

NOVEMBER 19, 2019

If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. For businesses looking to improve their consumer marketing communications, finding relevant images in real-time is a time-consuming venture. The solution?

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

OCTOBER 8, 2024

There’s a constant risk of data science projects failing by (for example) arriving at an insight that managers already figured out by hook or by crook—or correctly finding an insight that isn’t a business priority. And some of the biggest challenges to making the most of it are well-suited to the skills and mindset of data scientists.

Unstructured Data 117

Unstructured Data Data Science Uncertainty Sales 117

CIO Business Intelligence

AUGUST 1, 2023

Clean and prep your data for private LLMs Generative AI capabilities will increase the importance and value of an enterprise’s unstructured data, including documents, videos, and content stored in learning management systems.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

Cloudera

JUNE 11, 2024

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

Smart Data Collective

NOVEMBER 16, 2021

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources.

Analytics 133

Analytics Unstructured Data Data Collection Software 133

Smart Data Collective

MAY 1, 2022

Considering the amount of unstructured data produced daily, NLP has become integral to efficiently understanding and analyzing text—based data. Moreover, the data collected is not free from error or biases if humans handle it. Unstructured data can be difficult to skim through.

Unstructured Data 132

Unstructured Data Cost-Benefit Machine Learning Marketing 132

DataRobot Blog

MAY 5, 2022

To date, however, enterprises’ vast troves of unstructured data – photo, video, text, and more – have remained mostly untapped. At DataRobot, we are acutely aware of the ability of diverse data to create vast improvements to our customers’ business. Today, managing unstructured data is an arduous task. Jared Bowns.

Unstructured Data 52

Unstructured Data Modeling Enterprise Machine Learning 52

CIO Business Intelligence

OCTOBER 2, 2024

Technology leaders want to harness the power of their data to gain intelligence about what their customers want and how they want it. This is why the overall data and analytics (D&A) market is projected to grow astoundingly and expected to jump to $279.3 billion by 2030. Interactions give the “why.”

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

CIO Business Intelligence

OCTOBER 23, 2023

For example, apps might look for patterns in data to help avert supply chain shortages , or project expected sales relative to historical performance and current market trends. Some AI tools are designed for data protection and sniff out anomalies from vast amounts of information. It’s AI democratized for the masses.

Sales 141

Sales Unstructured Data Interactive Marketing 141

David Menninger's Analyst Perspectives

OCTOBER 31, 2024

It was not until the addition of open table formats— specifically Apache Hudi, Apache Iceberg and Delta Lake—that data lakes truly became capable of supporting multiple business intelligence (BI) projects as well as data science and even operational applications and, in doing so, began to evolve into data lakehouses.

Data Lake 130

Data Lake Unstructured Data Data Warehouse Software 130

Smart Data Collective

JULY 4, 2021

Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry. Researching, collecting data, and processing everything they find can be labor-intensive. But is AI becoming the end-all and be-all of asset management ? Why Machine Learning?

Machine Learning 143

Machine Learning Management B2B Unstructured Data 143

Smart Data Collective

JULY 31, 2022

Traders can have even more difficulty identifying the best investing opportunities as market volatility intensifies. Predictive Analytics Helps Traders Deal with Market Uncertainty. They have started resorting to predictive analytics tools to better anticipate market movements. The EU economy is expected to increase by 2.7%

Predictive Analytics 145

Predictive Analytics Analytics Uncertainty Forecasting 145

CIO Business Intelligence

NOVEMBER 21, 2022

In our most recent Rocket survey, 46% of IT professionals indicate that at least half of their content is “dark data”— meaning it’s processed but never used. A big reason for the proliferation of dark data is the amount of unstructured data within business operations.

Software 98

Software Management Unstructured Data Data Governance 98

datapine

JUNE 5, 2019

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. If you use digital marketing heavily in your business, this web analytics dashboard below will soon become your best friend.

Dashboards 316

Dashboards KPI Sales Visualization 316

Cloudera

JANUARY 7, 2025

By leveraging the Open Data Lakehouse’s ability to unify structured and unstructured data with built-in governance and security, the organization tripled its analyzed data volume within a year, boosting operational efficiency.

Cost-Benefit 82

Cost-Benefit Optimization Data-driven Strategy 82