Jedox

SEPTEMBER 3, 2020

The new normal introduced new risks from employee health and safety, supply chain stress and government mandates – all with working capital implications. The room for poor assumptions and missed forecasts shrank. Build for broad and deep data integration. This placed an acute spotlight on planning agility.

Uncertainty 81

Uncertainty Forecasting Digital Transformation Risk 81

O'Reilly on Data

FEBRUARY 11, 2019

The resource examples I’ll cite will be drawn from the upcoming Strata Data conference in San Francisco , where leading companies and speakers will share their learnings on the topics covered in this post. AI and machine learning in the enterprise. AI and machine learning in the enterprise. Foundational data technologies.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

Ontotext

APRIL 6, 2023

This model is used in various industries to enable seamless data integration, unification, analysis and sharing. More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. The possibilities are endless!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

FineReport

APRIL 9, 2024

Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations. The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. For example, the marketing department uses demographics and customer behavior to forecast sales.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? Other sectors such as banking, healthcare, and education also take advantage of big data.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

CDW Research Hub

MAY 28, 2021

Trends in data storage give us insight into how the storage market is changing. Data storage systems have become a mission-critical component of enterprise IT infrastructure. Organizations will need to be prepared for the next wave of the data boom by adopting storage solutions that are agile, scalable, secure and flexible.

Optimization 52

Optimization Deep Learning Enterprise Software 52

Jedox

APRIL 23, 2020

Headquartered on the West Coast, Spectrum Technologies’ shares their unique insights on a fast-growing sector of enterprise performance management in our new 2-part series. Fixed Data Model. Current SPM tools are built with somewhat static pre-determined data model as core part of the system architecture.

Sales 52

Sales Management B2B Dashboards 52

FineReport

MAY 31, 2023

On the right side of the dashboard, the balance sheet serves as the primary financial statement that captures the financial position of an enterprise, encompassing assets, liabilities, and owners’ equity, on a specific date. These indicators indirectly shed light on the enterprise’s operational conditions.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Jet Global

NOVEMBER 18, 2021

This applies to collaborative planning, budgeting, and forecasting, which, without the right tools, can be daunting on its best day. What holds us back from working smarter is the risk of integrating better tools that, although the tool is seemingly an improvement, runs the risk of throwing off your whole process.

Forecasting 98

Forecasting Cost-Benefit Risk Reporting 98

Smart Data Collective

SEPTEMBER 25, 2019

However, according to a 2018 North American report published by Shred-It, the majority of business leaders believe data breach risks are higher when people work remotely. Whether you work remotely all the time or just occasionally, data encryption helps you stop information from falling into the wrong hands.

Technology 84

Technology Statistics Strategy Insurance 84

Jet Global

NOVEMBER 2, 2021

This applies to collaborative planning, budgeting, and forecasting, which, without the right tools, can be daunting on its best day. What can hold you back from working smarter is often times the risk of integrating better tools that, although promise improvements, run the risk of throwing off your whole process through its implementation.

Forecasting 52

Forecasting Cost-Benefit Risk Software 52

IBM Big Data Hub

APRIL 19, 2023

Through the formation of this group, the Assessment Services division discovered multiple enterprise resource planning instances and payroll systems, a lack of standard reporting, and siloed budgeting and forecasting processes residing within a labyrinth of spreadsheets. It was chaotic.

Technology 81

Technology Forecasting Data Warehouse Reporting 81

CIO Business Intelligence

MARCH 21, 2022

Financial institutions are operating in a complex, data-hungry environment. Unfortunately, they have fallen behind when it comes to automation and data integration practices, despite industry-wide recognition of the merits associated with an effective data strategy,” said Wayne Johnson , CEO & Founder of Encompass.

Data-driven 106

Data-driven IT Finance Forecasting 106

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 85

Insurance Risk Data-driven Finance 85

AWS Big Data

OCTOBER 11, 2023

This is due to the complexity of the JSON structure, contracts, and the risk evaluation process on the payor side. Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. Then you can use Amazon Athena V3 to query the tables in the Data Catalog.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

Jet Global

MAY 31, 2023

Pillar Two requirements, improving financial planning with consistent, correct tax payments and reliable tax forecasting. Inconsistent data integrity leads to errors in tax reporting and forecasting, which can result in enormous financial and legal costs for organizations. Global Tax Management is Critical.

Finance 59

Finance Forecasting Reporting Cost-Benefit 59

IBM Big Data Hub

OCTOBER 12, 2023

Ensuring compliance with governmental regulatory requirements as well as internal policies An AI model must be fully understood from every angle, inside and out—from what enterprise data is used and when , to how the model arrived at a certain output. Learn more about IBM watsonx 1.

Cost-Benefit 77

Cost-Benefit Metadata Data Governance Modeling 77

FineReport

MAY 25, 2023

These data play a crucial role in enabling HR to make informed hiring decisions while enhancing forecasting and planning effectiveness. For enterprises, it offers a quote-based plan that charges according to different situations. FineReport is free without time or feature limits for personal use.

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Enrichment typically involves adding demographic, behavioral, and geolocation data.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Jedox

JULY 23, 2020

For seamless data integration and connection of all upstream systems, a modern software solution that can be flexibly adapted to the requirements of the respective organization is recommended. Figure 1: Exemplary portfolio balancing, budget, strategic relevance, risk, and portfolio affiliation.

Management 52

Management Cost-Benefit Risk Reporting 52

O'Reilly on Data

MAY 21, 2019

I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies. This is a good time to assess enterprise activities, as there are many indications a number of companies are already beginning to use machine learning.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Public sector data sharing. A push on productivity.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

Smarten

MARCH 19, 2019

In today’s competitive business market, every senior executive looks at risk, value and calculations like return on investment (ROI) and total cost of ownership (TCO) before approving a budget. The organization will gain valuable insight into the types of reporting and data that are helpful in making decisions.

ROI 40

ROI Analytics Cost-Benefit Predictive Modeling 40

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Alation

JANUARY 27, 2022

Raw data includes market research, sales data, customer transactions, and more. Analytics can identify patterns that depict risks, opportunities, and trends. And historical data can be used to inform predictive analytic models, which forecast the future. But data integration is not trivial.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Jet Global

JUNE 17, 2021

Although the workbooks were standardized, data entered were not always complete or in line with numbers forecast earlier in the year. The semi-manual approach to data capture also led to inaccuracies that needed to be managed and corrected centrally. Managing Data Integrity. The Need to Free Up Time.

Risk 98

Risk Recreation/Entertainment Forecasting Manufacturing 98

Jet Global

MAY 6, 2024

Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments. This untapped potential suggests a significant opportunity for those willing to embrace AI and gain a competitive edge through intelligent automation and data-driven financial insights.

Finance 52

Finance Reporting Data Transformation Optimization 52

Jet Global

AUGUST 24, 2023

Reasons for Lingering On-Premises Many companies are willing to experiment with the cloud in other parts of their business, but they feel that they can’t put the quality, consistency, security, or availability of financial data in jeopardy. Thus, finance data remains on-premises.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

MARCH 20, 2024

With limited technical capabilities your team might struggle to slice and dice data, uncover hidden patterns, or perform deep dives into specific areas. This lack of visibility can lead to missed opportunities for cost savings or uncovering financial risks.

Slice and Dice 52

Slice and Dice Finance Reporting Cost-Benefit 52

Jet Global

NOVEMBER 16, 2022

A board report can contain many types of information including financial data, data related to key performance indicators (KPIs), and future forecasting. risk and compliance management. Compliance Risk Management. And for financial data, integrate and pull directly from your existing ERP to create reports.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

Jet Global

FEBRUARY 20, 2024

80% of data scientists say they spend 60-80% of their time on data integration instead of actual analysis. When your data management challenges limit data analysis, you will struggle to provide the insights your leaders need to move with the market and keep pace with competition.

Operational Reporting 52

Operational Reporting Reporting Digital Transformation Optimization 52

Jet Global

SEPTEMBER 26, 2023

By knowing that data has undergone thorough cleansing and validation processes, users are more likely to trust and rely on it for their financial analysis and decision-making, reducing the risk of errors and misstatements in the process. Angles can help cleanse company SAP data.

Data Quality 52

Data Quality Reporting Management Software 52

Jet Global

NOVEMBER 7, 2023

The need for greater efficiency and more accurate forecasting led CFOs to re-evaluate the tools and processes on hand and their ability to overcome skills shortages and drive agility. Finance leaders are excited about the productivity gains GenAI can provide but also wary of potential security risks.

Finance 52

Finance Uncertainty Reporting Marketing 52

Jet Global

JULY 1, 2022

They are the driver of every global company, manufacturer, and supplier, but they are increasingly susceptible to adverse risks. Control risks and process compliance issues such as Segregation of Duty. Case Study: Clean Data Delivers Key Insights for Heineken. We’ve managed to improve our data integrity by major, major steps.”.

Operational Reporting 98

Operational Reporting Reporting Finance Dashboards 98

Jet Global

OCTOBER 4, 2023

Inefficient and time-consuming processes: • Without seamless integration and real-time access to SAP data, finance teams may spend a significant amount of time on data extraction, transformation, and loading (ETL) processes.

Finance 52

Finance Reporting Cost-Benefit Management 52