Smart Data Collective

NOVEMBER 25, 2019

Just as companies are becoming more aware of the value of data, so are hackers — and as a result, the frequency and cost of data breaches are beginning to skyrocket. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 52

Data Integration IoT Cost-Benefit Data Quality 52

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 61

Machine Learning Data Science Statistics Deep Learning 61

Smart Data Collective

JULY 31, 2022

Predictive analytics technology has become essential for traders looking to find the best investing opportunities. Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Predictive Analytics Helps Traders Deal with Market Uncertainty. Analytics Vidhya, Neptune.AI

Predictive Analytics 134

Predictive Analytics Analytics Uncertainty Forecasting 134

Cloudera

JANUARY 5, 2021

Retail supply chains are a recognized and proven source of ROI when data analytics are leveraged to improve forecast accuracy and product availability. Through this collaborative effort, they also reduced point solution costs, improved analytic agility, and established an approach to use with other legacy business applications.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS, on the other hand, provides robust, scalable cloud infrastructure.

Insurance 87

Insurance Data Warehouse Data-driven Unstructured Data 87

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 90

Cost-Benefit Insurance Unstructured Data Machine Learning 90

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

Sisense

OCTOBER 6, 2020

With qualitative data, you can understand intention as well as behavior, thereby making predictive analytics more accurate and giving you fuller insights. You can analyze and learn from the large volume of unstructured data to ensure that your data-driven decisions are as solid as possible.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 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. A data dashboard assists in 3 key business elements: strategy, planning, and analytics. 5) Logistics Transportation Dashboard. click to enlarge**.

Dashboards 316

Dashboards KPI Sales Visualization 316

Jet Global

JUNE 18, 2019

Industries such as retail, healthcare, and manufacturing have experienced a dramatic shift thanks to the impact of big data analytics software—but let’s start by looking at what it is, first. Big Business Needs Big Data. What is Big Data Analytics Software? Manufacturing.

Big Data 75

Big Data Software Data Analytics Analytics 75

Jet Global

OCTOBER 3, 2019

Industries such as retail, healthcare, and manufacturing have experienced a dramatic shift thanks to the impact of big data analytics software—but let’s start by looking at what it is, first. Big Business Needs Big Data. What is Big Data Analytics Software? Manufacturing.

Big Data 53

Big Data Software Data Analytics Analytics 53

Rita Sallam

JULY 22, 2016

Q2: Would you consider Sisense better than others in handling big and unstructured data? Not sure about that, but Sisense is well suited for easily harmonizing, combining and modeling many different, complex and large data sets for fast interactive analysis. Answer: Better than every other vendor?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

FineReport

JUNE 24, 2021

Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data. BI software solutions often support multiple data source connections. Predictive analytics and modeling.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

CIO Business Intelligence

AUGUST 18, 2022

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). Under Guadagno, the Deerfield, Ill.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Cloudera

AUGUST 31, 2020

Oalva brought years of big data, data warehouse and Hadoop expertise to the table. Today SMG can leverage tremendously more Data Science on both structured and unstructured data. They advised SMG on best practices based on their experience with many Hadoop implementations across a variety of disciplines. .

Slice and Dice 64

Slice and Dice Management Data Warehouse Analytics 64

datapine

NOVEMBER 19, 2019

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. One of the IT buzzwords you must take note of in 2020.

Technology 279

Technology Internet of Things IT IoT 279

Sisense

JULY 22, 2020

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. 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.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Mobile Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212