CIO Business Intelligence

DECEMBER 19, 2023

It has emerged as a transformative force in managing bond investment risks by automating and optimizing complex analytical tasks. Gen AI models can sift through vast quantities of unstructured data related to bonds, identify critical information, and compare it against risk parameters. “It Artificial Intelligence

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

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. Real-world Business Solutions The real value of any technology is measured by its impact on real-world problems.

Insurance 78

Insurance Data Warehouse Data-driven Unstructured Data 78

IBM Big Data Hub

MAY 14, 2024

That said, they do need to understand how to measure the business value created from generative AI across the organization while also using the technology to augment their own skills and capabilities. Read the report: CEO’s guide to AI in finance Unlocking the value CFOs are not expected to be technology experts.

Finance 68

Finance Cost-Benefit Reporting Forecasting 68

Smart Data Collective

APRIL 5, 2021

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 can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

Big Data 108

Big Data IT Data-driven Sales 108

datapine

JUNE 5, 2019

Learn all about data dashboards with our executive bite-sized summary! What Is A Data Dashboard? These are measured through Key Performance Indicators (KPIs), which provide insights that help to foster growth and improvement. In doing so, your business will be data-driven, and as a direct result – more successful.

Dashboards 316

Dashboards KPI Sales Visualization 316

datapine

NOVEMBER 19, 2019

Let’s picture an ambiance where business users can make use of a business intelligence and analysis portal and view the popular data that can be rated, shared, and commented on. Popularity is not just chosen to measure quality, but also to measure business value. However, collaborative BI helps in changing that.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

Cloudera

JANUARY 5, 2021

Website Operations —Analyze website operations to improve efficiencies in order fulfillment service levels, optimize delivery options offered. Consolidated Inventory & Sales Data — Build an enterprise view of sales and inventory across all channels. Improved customer delivery capacity, service with shortened delivery windows.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

erwin

JUNE 26, 2020

Data catalogs combine physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals in certain circumstances. The most optimal and streamlined way to achieve this is by using a data catalog, which can provide a first stop for users ahead of working in BI platforms.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Ontotext

MARCH 20, 2024

The Accelerator’s intelligent mapping capabilities create a unified information landscape for seamless data exploration. Robust security: Zenia Graph understands the importance of data security. Industry-leading security measures safeguard your valuable sales information, giving you peace of mind.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

IBM Big Data Hub

FEBRUARY 2, 2023

Misconception 3: All data warehouse migrations are the same, irrespective of vendors While migrating to the cloud, CTOs often feel the need to revamp and “modernize” their entire technology stack – including moving to a new cloud data warehouse vendor.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. This is quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

SEPTEMBER 2, 2022

The average salary for a full stack software engineer is $115,818 per year, with a reported salary range of $85,000 to $171,000 per year, according to data from Glassdoor. The average salary for a data engineer is $118,915 per year, with a reported salary range of $87,000 to $177,000 per year, according to data from Glassdoor.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The average salary for a full stack software engineer is $115,818 per year, with a reported salary range of $85,000 to $171,000 per year, according to data from Glassdoor. The average salary for a data engineer is $118,915 per year, with a reported salary range of $87,000 to $177,000 per year, according to data from Glassdoor.

Finance 98

Finance IT Software Reporting 98

IBM Big Data Hub

JANUARY 5, 2023

A naming convention and aligned data format (data classes) for data used throughout the organization helps to ensure data consistency and interoperability across departments (domains) and use cases. Decide on the changes that will optimize your data for achieving your business objectives.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

JANUARY 8, 2024

Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer. It provides the ability to collect data from tens of thousands of data sources and ingest in real time. Examples are stock prices over time, webpage clickstreams, and device logs over time.

Analytics 112

Analytics IoT Data-driven Snapshot 112

bridgei2i

OCTOBER 7, 2020

Sometimes due to excessive volume of data, an underwriter can get confused and is unable to measure risk appropriately. Importance of capturing market data for optimized pricing models. The more data an underwriter has at his disposal, the more accurately he will be able to assess risk.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

AWS Big Data

JULY 19, 2023

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3.

Big Data 82

Big Data Software Consulting Unstructured Data 82

Alation

SEPTEMBER 9, 2021

In banks, this means: Setting data format standards. Identifying structured and unstructured data that needs to be protected. Tagging data types. Monitoring and measuring to identify improvements. Establishing a data governance program can feel like an overwhelming task, especially at the beginning.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Sisense

MAY 28, 2020

“Not only do they have to deal with data that is distributed across on-premises, hybrid, and multi-cloud environments, but they have to contend with structured, semi-structured, and unstructured data types. Chandana Gopal, Business Analytics Research Director, IDC.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

Ontotext

NOVEMBER 2, 2023

This is partly because integrating and moving data is not the only problem. The data itself is stored in a way that is not optimal for extracting insight. Unlocking additional value from data requires context, relationships, and structure, none of which are present in the way most organizations store their data today.

IT 69

IT Cost-Benefit Data-driven Technology 69

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. Better Forecasting and Optimization. They also have to assess loss forecasting and reserving based on new data sources.

Risk 52

Risk Management Scorecard Forecasting 52

CIO Business Intelligence

JUNE 3, 2024

With cloud infrastructure and software leading IT spending trends , the first point of focus for any cost optimization effort should be the cloud. Navigating the vast array of options to pinpoint the optimal pricing model for your cloud infrastructure service can be daunting.

Strategy 98

Strategy Management Finance Optimization 98

erwin

JUNE 27, 2019

The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. There’s an expression: measure twice, cut once.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

datapine

NOVEMBER 19, 2019

Let’s picture an ambiance where business users can make use of a business intelligence and analysis portal and view the popular data that can be rated, shared, and commented on. Popularity is not just chosen to measure quality, but also to measure business value. However, collaborative BI helps in changing that.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

BizAcuity

APRIL 14, 2022

With the amount of data being accumulated, it is easier when said. There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Unstructured Data Management.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

IBM Big Data Hub

JANUARY 16, 2024

Serving as a one-stop shop, it measures, reports, creates baselines and provides a unified dashboard view of the carbon footprint across the hybrid cloud environment—including private data centers, public cloud and user devices. It helps identify energy or carbon hotspots to develop an optimization roadmap.

IT 85

IT Cost-Benefit Consulting Measurement 85

CIO Business Intelligence

JUNE 14, 2023

To accomplish this, we will need additional data center space, more storage disks and nodes, the ability for the software to scale to 1000+PB of data, and increased support through additional compute nodes and networking bandwidth. Focus on scalability.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Occam's Razor

MARCH 12, 2012

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. " I don't think so.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

DataKitchen

APRIL 13, 2021

Monte Carlo Data — Data reliability delivered. Data breaks. Observe, optimize, and scale enterprise data pipelines. . Validio — Automated real-time data validation and quality monitoring. . DataOps requires that teams measure their analytic processes in order to see how they are improving over time.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Smart Data Collective

MARCH 24, 2020

At the stage of data collection, the development of regulatory measures to collect missing data from educational organizations to achieve representativeness of the sample. Indicators of the content used from the media – television, the press, radio, cinema, video, the Internet, including data from social networks.

Big Data 101

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 101

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 59

Data Warehouse Unstructured Data Analytics Visualization 59

IBM Big Data Hub

SEPTEMBER 13, 2023

Yet as supply chain innovators, we know there is a rich history of applying technologies to continuously optimize operations. In supply chain, we take intentional but measured risks; we don’t swing for the fence. Is generative AI likely to drive an “extinction event” for supply chains as we know them? We think not.

Visualization 67

Visualization Unstructured Data Interactive Technology 67

Ontotext

SEPTEMBER 2, 2020

Institutional memory loss creates significant and measurable inefficiencies. These organizations reached the limit of optimization relying on keywords long before anyone else. This is in contrast to numerous examples of two thousand year old Roman harbors that are still standing. The Cost of Memory Loss.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

FineReport

FEBRUARY 5, 2020

To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis. Management, security and architecture of the BI platform.

Metadata 98

Metadata Dashboards Informatics Visualization 98

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. Data had to be manually processed by data analysts, and data mining took a long time.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Occam's Razor

NOVEMBER 5, 2007

The fact that to make optimal decisions on the web I was going to have to be comfortable with multiple sources of data, all valuable and all necessary to win. The strategy, for me, was two fold: Go figure out what sources of data, web and non-web, were needed to make decisions. That last part is critical.

Analytics 98

Analytics Experimentation Metrics Measurement 98

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