Smart Data Collective

OCTOBER 14, 2019

That is how “big” the need for big data analytics came to be. More specifically, big data analytics offers users the ability to generate relevant insights from heaps of data. InfoSec specialists, in particular, find big data analytics very helpful in analyzing online threats.

Big Data 88

Big Data Data Analytics Analytics Unstructured Data 88

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. What is Data Science? Typical tools for data science: SAS, Python, R.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Sisense

MAY 28, 2019

2019 can best be described as an era of modern cloud data analytics. Convergence in an industry like data analytics can take many forms. We have seen industry rollups in which firms create a collection of analytical tools under one brand. Realizing a Flexible, Multi-Cloud, Open-Platform, Data Hub-Driven Future.

Data Analytics 89

Data Analytics Data Lake Analytics Unstructured Data 89

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Smart Data Collective

MAY 13, 2022

With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Business insight and data analytics landscape. Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient.

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

CIO Business Intelligence

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Smart Data Collective

SEPTEMBER 23, 2020

Type of Data: structured and unstructured from different sources of data Purpose: Cost-efficient big data storage Users: Engineers and scientists Tasks: storing data as well as big data analytics, such as real-time analytics and deep learning Sizes: Store data which might be utilized.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Amaterasu — is a deployment tool for data pipelines.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Jet Global

JUNE 18, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself.

Big Data 75

Big Data Software Data Analytics Analytics 75

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. 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.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

CIO Business Intelligence

JULY 16, 2024

Often the data resides in different databases, in diverse data centers, or in different clouds. Migrating the data into similar databases, and replicating data across multiple locations, provides the availability and speed required for AI applications. As much as 90% of an organization’s data is unstructured.

Unstructured Data 105

Unstructured Data Structured Data Machine Learning Enterprise 105

Analytics Vidhya

MAY 29, 2023

The two pillars of data analytics include data mining and warehousing. They are essential for data collection, management, storage, and analysis. Both are associated with data usage but differ from each other.

Data mining 295

Data mining Data Collection Strategy Data Analytics 295

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Cloudera

JANUARY 7, 2025

A leading meal kit provider migrated its data architecture to Cloudera on AWS, utilizing Cloudera’s Open Data Lakehouse capabilities. This transition streamlined data analytics workflows to accommodate significant growth in data volumes.

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

AWS Big Data

FEBRUARY 29, 2024

Data governance is a critical building block across all these approaches, and we see two emerging areas of focus. First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses.

Data Governance 117

Data Governance Unstructured Data Metadata Data Lake 117

Smart Data Collective

JULY 4, 2021

On the finance side of businesses, asset management firms are utilizing machine learning with computerized maintenance management systems (CMMS) and data analytics to manage digital assets. Researching, collecting data, and processing everything they find can be labor-intensive. What Machine Learning Means to Asset Managers.

Machine Learning 143

Machine Learning Management B2B Unstructured Data 143

Analytics Vidhya

FEBRUARY 3, 2020

Introduction Did you know that the Indian cricket team relies heavily on data analytics to decide their strategy for an upcoming match? Finding the Answer with Network Analysis appeared first on Analytics Vidhya. Batsmen are. The post Who is the Best IPL Batsman to Bat with?

Strategy 255

Strategy Data Analytics Analytics Unstructured Data 255

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

AWS Big Data

MAY 28, 2024

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 110

Unstructured Data Data Warehouse Structured Data Testing 110

Smart Data Collective

NOVEMBER 20, 2022

You’ll learn what big data is, how it can affect your marketing and sales strategy, and more. What Is Big Data? Big data refers to an extremely large volume of data sets, including structured and unstructured data from several sources. Keep reading. Making Pricing Decisions.

Big Data 144

Big Data Sales Marketing B2B 144

Smart Data Collective

MAY 1, 2022

Text analysis , or text mining, is a machine—learning technique that can extract valuable data from large amounts of unstructured text. Artificial intelligence, machine learning, and advanced data analytics techniques come together to accomplish this. Unstructured data can be difficult to skim through.

Unstructured Data 132

Unstructured Data Cost-Benefit Machine Learning Marketing 132

CIO Business Intelligence

JANUARY 22, 2024

For any healthcare payer or provider, your strongest business asset will become your data and your model, especially when unstructured data becomes fully integrated. The need for generative AI data management may seem daunting. Generative AI has the potential to transform how healthcare is delivered, managed, and paid.

Unstructured Data 98

Unstructured Data Digital Transformation Data Strategy Modeling 98

Jet Global

OCTOBER 3, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself.

Big Data 53

Big Data Software Data Analytics Analytics 53

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. Unstructured Data Management. Big Data Storage Optimization.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured data contains a mixture of both structured and unstructured data. Semi-structured. Improving Efficiency.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

CIO Business Intelligence

SEPTEMBER 11, 2024

AI architecture overseers : Data stewards should work closely with architecture teams to ensure the data infrastructure supports AI needs, including cloud capabilities, data enrichment and interoperability, and handling unstructured data. Bias detectives : AI doesn’t just maintain biases – it can amplify them.

Data Quality 118

Data Quality Unstructured Data Metadata Data Governance 118

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

datapine

JUNE 5, 2019

Online dashboards provide immediate navigable access to actionable analytics that has the power to boost your bottom line through continual commercial evolution. This particular data dashboard example shows how big data and data analytics can impact the logistics industry. 5) Logistics Transportation Dashboard.

Dashboards 316

Dashboards KPI Sales Visualization 316

Smart Data Collective

AUGUST 30, 2022

The data backup solution makes it possible to recover your business operations when a system fails. Big data analytics. The amount of data in today’s world is growing exponentially, and cloud computing provides excellent tools that analyze large volumes of information and carry out marketing segmentation.

Technology 140

Technology Enterprise Cost-Benefit Data Processing 140

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement. There is little use for data analytics without the right visualization tool.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

AWS Big Data

FEBRUARY 26, 2025

In this post, we walk you through the top analytics announcements from re:Invent 2024 and explore how these innovations can help you unlock the full potential of your data. He is also the author of Simplify Big Data Analytics with Amazon EMR and AWS Certified Data Engineer Study Guide books.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

Smart Data Collective

DECEMBER 21, 2020

We previously talked about the benefits of data analytics in the insurance industry. One report found that big data vendors will generate over $2.4 Key benefits of AI include recognizing speech, identifying objects in an image, and analyzing natural or unstructured data forms. billion from the insurance industry.

Insurance 142

Insurance Cost-Benefit Big Data Unstructured Data 142

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. The future is hybrid data, embrace it.

IT 112

IT Data Architecture Unstructured Data Big Data 112

CIO Business Intelligence

JUNE 7, 2022

NLP solutions can be used to analyze the mountains of structured and unstructured data within companies. In large financial services organizations, this data includes everything from earnings reports to projections, contracts, social media, marketing, and investments. Intel® Technologies Move Analytics Forward.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

AWS Big Data

SEPTEMBER 12, 2024

ZS unlocked new value from unstructured data for evidence generation leads by applying large language models (LLMs) and generative artificial intelligence (AI) to power advanced semantic search on evidence protocols. Clinical documents often contain a mix of structured and unstructured data.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

Smart Data Collective

NOVEMBER 25, 2019

With these platforms, anyone can type in a query or request — like Microsoft’s example of “ top-performing product by sales revenue ” — and the platform will intelligently scan through the data, answer the question and provide insights for reporting. The Growing BI Analyst Shortage.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132