Cloudera

DECEMBER 11, 2020

A recent McKinsey survey, cited in CRN , shows that worldwide, 58 percent of customer interactions were digital as of July 2020. That compares to only 36 percent of customer interactions as of December 2019, which was before the pandemic impacted business, and only 20 percent in May 2018. This can be done at speed, and at scale.

Insurance 95

Insurance Digital Transformation Unstructured Data Machine Learning 95

Smart Data Collective

JULY 4, 2021

Partnered with natural language processing (NLP), AI software can pull relevant information from sets of unstructured data. Machine learning also reinforces cybersecurity and necessitates companies from various industries to tighten their security measures. Risk Management.

Machine Learning 143

Machine Learning Management B2B Unstructured Data 143

Smart Data Collective

APRIL 5, 2021

With individuals and their devices constantly connected to the internet, user data flow is changing how companies interact with their customers. Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data?

Big Data 108

Big Data IT Data-driven Sales 108

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Popularity is not just chosen to measure quality, but also to measure business value.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

FineReport

OCTOBER 25, 2021

The power of BI insight enables any group or organization’s processes, initiatives, and projects to be well shown and measured. Data Dashboard Tool. Why Data Dashboard? Undoubtedly, a data dashboard tool helps you answer a barrage of business-related questions in order to cater to your own strategies. FineReport?.

Dashboards 98

Dashboards KPI Visualization Key Performance Indicator 98

CIO Business Intelligence

MAY 8, 2024

Their AI engine can automatically learn data structures and relationships, simplifying the integration process and minimising the need for manual configuration. AI-powered data integration solutions are particularly effective in handling complex, unstructured data sources, such as social media feeds, sensor data, and customer interactions.

Data Integration 52

Data Integration IoT Cost-Benefit Data Quality 52

Smart Data Collective

DECEMBER 21, 2020

Key benefits of AI include recognizing speech, identifying objects in an image, and analyzing natural or unstructured data forms. Customers are becoming more accustomed to interacting with AI in their day to day lives, even if they don’t always realize it. What will be the main changes to insurance claims?

Insurance 135

Insurance Cost-Benefit Big Data Unstructured Data 135

Ontotext

MARCH 20, 2024

Make data-driven decisions with cutting-edge ML: Gain deeper insights from your data with the Accelerator’s cutting-edge ML capabilities. This allows your teams to make informed decisions based on real data, not just intuition. Robust security: Zenia Graph understands the importance of data security.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. Try FineReport Now 1.1 This will be elaborated on in the third part of this article.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Cloudera

JANUARY 5, 2021

The following illustrative, measurable business impacts were realized: Improved intra-day online order fulfillment demand forecast accuracy by 3%. 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 93

Forecasting Cost-Benefit Sales Unstructured Data 93

FineReport

APRIL 26, 2023

Here are some key factors to keep in mind: Understanding business objectives : It is important to identify and understand the business objectives before selecting a big data tool. These objectives should be broken down into measurable analytical goals, and the chosen tool should be able to meet those goals. Top 10 Big Data Tools 1.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Popularity is not just chosen to measure quality, but also to measure business value.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

CIO Business Intelligence

JUNE 27, 2023

Equally, if not more important, is the need for enhanced data storage and management to handle new applications. These applications require faster parallel processing of data in diverse formats. Nowadays, 80% of data is unstructured data, with a compound annual growth rate (CAGR) of 38%.

Unstructured Data 98

Unstructured Data Big Data Digital Transformation Enterprise 98

Smart Data Collective

MARCH 24, 2020

This is a bit of an exaggeration, but he is correct that big data is changing the future of the industry. Big Data Internal Impact. research is issues related to internal interaction. Predicting academic performance is one of the key research topics in Big Data in education. To Begin with…. An important area of ??research

Big Data 101

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 101

CIO Business Intelligence

JUNE 14, 2023

This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Evaluate data across the full lifecycle.

Unstructured Data 65

Unstructured Data IT Manufacturing Visualization 65

Ontotext

MAY 22, 2023

The rich semantics built into our knowledge graph allow you to gain new insights, detect patterns and identify relationships that other data management techniques can’t deliver. Plus, because knowledge graphs can combine data from various sources, including structured and unstructured data, you get a more holistic view of the data.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

IBM Big Data Hub

SEPTEMBER 13, 2023

In supply chain, we take intentional but measured risks; we don’t swing for the fence. Generative AI brings the force of machine learning to everyday tasks by leveraging foundation models that allow users to interact with structured and unstructured data like never before.

Visualization 74

Visualization Unstructured Data Interactive Technology 74

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

Ontotext

FEBRUARY 26, 2024

Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio. It compares actual price changes to expected changes based on historical data. Then it presents customizable insights through an interactive dashboard for thorough analysis.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

FineReport

FEBRUARY 5, 2020

Overall, as users’ data sources become more extensive, their preferences for BI are changing. They prefer self-service development, interactive dashboards, and self-service data exploration. To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Sisense

FEBRUARY 19, 2020

The best indicator is not the volume of data or the number of dashboards created. Instead, real success is best measured by the adoption of analytics across the organization. What percentage of employees are using analytics throughout their day to make data-informed decisions? What about partners? Broadridge is a leading, $4.5

Analytics 83

Analytics Digital Transformation Data-driven Measurement 83

Sisense

FEBRUARY 19, 2020

The best indicator is not the volume of data or the number of dashboards created. Instead, real success is best measured by the adoption of analytics across the organization. What percentage of employees are using analytics throughout their day to make data-informed decisions? What about partners? Broadridge is a leading, $4.5

Analytics 52

Analytics Digital Transformation Data-driven Measurement 52

Ontotext

SEPTEMBER 2, 2020

Institutional memory loss creates significant and measurable inefficiencies. The automatic recognition of concepts leads to improved author productivity and context-based search results, which provides rich content analytics and interaction to subscribers. The Cost of Memory Loss. Knowledges Graphs for Memory Recall.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

AWS Big Data

FEBRUARY 22, 2023

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

datapine

JUNE 9, 2022

Data monitoring has been changing the business landscape for years now. That said, it hasn’t always been that easy for businesses to manage the huge amounts of unstructured data coming from various sources. By the time a report is ready, the data has already lost its value due to the fast-paced nature of today’s context.

Dashboards 143

Dashboards Metrics Visualization Sales 143

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. Businesses deal with massive amounts of data from their users that can be sensitive and needs to be protected. Rely on interactive data visualizations.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218