FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

datapine

OCTOBER 7, 2020

Identifying what is working and what is not is one of the invaluable management practices that can decrease costs, determine the progress a business is making, and compare it to organizational goals. Try our professional reporting software for 14 days, completely free! What Are Metrics And Why Are They Important?

KPI 269

KPI Metrics Sales Visualization 269

Cloudera

OCTOBER 28, 2021

Since the beginning of Commercial insurance as we know it today, insurers have been using data generated by other industries to assess and rate risks. In the days of Lloyd’s Coffee House , insurers gathered data about cargo, voyages, seasonal weather and the performance history of vessels and mariners to underwrite risks.

Insurance 94

Insurance Risk Unstructured Data Data-driven 94

Smart Data Collective

DECEMBER 15, 2021

Personalization is among the prime drivers of digital marketing, thanks to data analytics. Gathered data enables business owners to understand the needs of buyers. Reduced Risks. By optimizing your marketing campaigns, analytics helps you identify risks and quickly patch them. Enhanced Supply Management.

ROI 117

ROI Marketing Data Analytics Analytics 117

Cloudera

DECEMBER 15, 2021

About the report. The Cloudera Enterprise Data Maturity Report is a global survey of 3,150 business and IT decision makers assessing organizations’ maturity when it comes to their current capabilities and handling of data and analytics. Organizations with robust enterprise data strategies are doing more on DEI.

Data Strategy 81

Data Strategy Strategy Snapshot Data-driven 81

Jet Global

OCTOBER 8, 2020

The term ‘operational finance’ encapsulates the critical activities associated with order to cash, procure to pay, fixed assets, close, consolidation, and reporting. It also decreases the risk of errors by eliminating disjointed, manual processes. Reporting frequency should also be a consideration.

Finance 98

Finance Reporting Forecasting Metrics 98

Cloudera

NOVEMBER 16, 2020

Globally, RGA research shows that 3.58% of all claims are fraudulent, and underwriting fraud is reported in 1.38% of all underwriting cases. . Use the Data Available. This requires a lot of data, a variety of data, and advanced analytic capabilities. Yet, fraud in the U.S.

Insurance 97

Insurance ROI Marketing Machine Learning 97

CIO Business Intelligence

JANUARY 30, 2024

Corporate ESG reporting is getting real for companies around the globe. Enacted and proposed regulations in the EU, US, and beyond are deepening reporting requirements in an effort to change business behavior. The foundation for ESG reporting, of course, is data. The foundation for ESG reporting, of course, is data.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. What is Data Governance in Banking? In banks, this means: Setting data format standards.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

IBM Big Data Hub

APRIL 4, 2024

Business Process Management (BPM) is a systematic approach to managing and streamlining business processes. Conversely, it has a larger scope than task management, which deals with individual tasks, and project management, which handles one-time initiatives. BPM is often confused with other seemingly similar initiatives.

Management 59

Management Cost-Benefit Metrics Consulting 59

Sisense

JANUARY 13, 2020

And a substantial proportion of this data can be gathered and organized by analytics embedded at the network’s edge , within the manufacturing equipment itself. Here are three key areas where data adds value to the manufacturing process to give companies a competitive edge. Improving the supply chain and mitigating its risk.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Sisense

OCTOBER 6, 2020

It’s analyzed through numerical comparisons and statistical inferences and is reported through statistical analyses. As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. Qualitative data benefits: Unlocking understanding.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

datapine

OCTOBER 14, 2020

In essence, in this post, we will explain all the details needed for dashboard reporting and creation, compare interactive vs. static reporting, and provide tips and tricks to make your business perform even better. Interactive Dashboards vs. Static Reporting. Let’s get started.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Smart Data Collective

AUGUST 14, 2022

Data loss protection comprises three significant business objectives – personal information protection, intellectual property protection, and comprehensive data usage reports. Having any of those boosts your data security. Here, DLP provides detailed reports to fulfill compliance audits. Data Usage Reports.

Risk 123

Risk Cost-Benefit Software Reporting 123

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 84

Insurance Data Architecture Risk Management Risk 84

DataKitchen

FEBRUARY 2, 2023

This will drive a new consolidated set of tools the data team will leverage to help them govern, manage risk, and increase team productivity. A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. What will exist at the end of 2025?

Metadata 130

Metadata Testing Risk Data Science 130

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Mike Barlow , Managing Partner, Cumulus Partners.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

CIO Business Intelligence

DECEMBER 18, 2023

NTT DATA enables our clients to navigate this complexity by bringing everything together into one common platform through our Digital Foundation. Outdated hardware also poses security risks. This includes working with service providers that can manage and dispose of these assets correctly.

Software 119

Software Technology Digital Transformation Data-driven 119

Ontotext

MAY 5, 2023

It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. We think their adoption will bring benefits well beyond reporting. Integrating reporting to move to a more streamlined, efficient approach to data collection.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

CIO Business Intelligence

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 145

Analytics Machine Learning Insurance Testing 145

CIO Business Intelligence

SEPTEMBER 21, 2022

CMOs need to look for ways to leverage customer data to deliver superior and highly tailored experiences to customers. CIOs need to ensure that the business’ use of data is compliant, secure, and done according to best practices. They need to assure the board that the risk from data is minimised.

Risk 105

Risk Data Lake Marketing Interactive 105

IBM Big Data Hub

AUGUST 11, 2023

If your manufacturing processes have become more intricate and challenging to manage manually, an MES can help streamline manufacturing operations management, increase efficiency and reduce errors. MES systems can assist managers with process management and process control, helping to facilitate optimal performance of manufacturing.

Software 72

Software Manufacturing Cost-Benefit ROI 72

Smart Data Collective

JULY 9, 2023

One effective way to achieve this is by implementing a centralized data system in your e-commerce studio to act as a hub for all your data – allowing for seamless collaboration and efficient management of your studio’s operations. Centralized data allows for better coordination and communication among team members.

Big Data 76

Big Data Data-driven Sales Risk 76

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 73

Data-driven Data Architecture Predictive Modeling Digital Transformation 73

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 99

Data-driven Digital Transformation Risk Risk Management 99

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

Jet Global

MARCH 22, 2023

Application teams that embed dashboards and reports drive revenue, reduce customer churn, and differentiate their software from the competition. Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

IBM Big Data Hub

OCTOBER 20, 2023

Summary generator: AI platforms can also transform dense text into a high-quality summary, capturing key points from financial reports, meeting transcriptions and more. Data extraction: Platform capabilities help sort through complex details and quickly pull the necessary information from large documents.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. This is where data governance comes in. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Traditional data sources like end of month statements and quarterly reports are no longer enough. It includes the reports, charts, dashboards, and terminology unique to your organization.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

FineReport

APRIL 24, 2024

Seamless integration ensures smooth workflows by allowing users to leverage existing infrastructure while incorporating visualizations into reports or applications seamlessly. Identification of Patterns : Visual data enables viewers to identify patterns, trends, and outliers within datasets with greater clarity.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Andrew White

JANUARY 11, 2021

What is unique about the D&A Leadership Vision is that it crossed over into business since for many organizations, the CDO reports into the CEO or COO (as examples). The fill report is here: Leadership Vision for 2021: Data and Analytics. How do you think Technology Business Management plays into this strategy?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

APRIL 12, 2022

Data loggers connect to centralized data management systems and transfer their readings, enabling efficient recording, analysis and decision-making. This allows you to send updated condition data to a cloud-based server or database from any point along the supply chain simply by scanning a QR code with your smartphone.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105

Alation

DECEMBER 8, 2022

There seem to be as many data governance vendors as there are data governance definitions! But by reviewing the offerings of the leading 18 vendors, Forrester Research’s new report, The Data Governance Solutions Landscape, Q4 2022 , can help you narrow your options based on core and extended features, size, and industry focus.

Data Governance 52

Data Governance Data-driven Strategy Reporting 52

CIO Business Intelligence

NOVEMBER 14, 2022

But its existing data integration and analysis process took too long and used too many resources, putting at risk the bank’s reputation for providing expert insights to investors in fast-changing markets. Best Western used to rely on static reports and limited data sets to set room rates,” Toner said.

Analytics 111

Analytics Machine Learning Testing Data Strategy 111