Jet Global

FEBRUARY 9, 2022

This applies to collaborative planning, budgeting, and forecasting, which, without the right tools, can be daunting. What can hold you back from working smarter is the fear of integrating better tools that, although promise improvements, run the risk of throwing off your whole process. Why Bizview.

Forecasting 52

Forecasting Recreation/Entertainment Reporting Software 52

Jet Global

APRIL 8, 2024

Furthermore, basing your budgets and forecasts on inaccurate or incongruent data from silos can have a detrimental impact on decision-making. This can lead to delays in filing disclosures and increase the risk of errors that could result in regulatory penalties or damage to your company’s reputation.

Reporting 52

Reporting Management Finance Forecasting 52

Smarten

OCTOBER 10, 2023

Gartner defines Data and Analytics (D&A) as, ‘…the ways organizations manage data to support all its uses, and analyze data to improve decisions, business processes and outcomes, such as discovering new business risks, challenges and opportunities.’

Reporting 67

Reporting Analytics Forecasting Data Integration 67

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. There may be times when department-specific data needs and tools are required.

IT 124

IT Risk Cost-Benefit Risk Management 124

Smart Data Collective

SEPTEMBER 13, 2021

In this article, we will show you the use of the tools and the top reasons to hire Django developers to help you with big data integration. Main Types of Big Data. It is crucial to research the field before you use big data implementation. This type of big data is used to forecast and for making the right decisions.

Big Data 107

Big Data Forecasting Cost-Benefit Machine Learning 107

CIO Business Intelligence

MAY 14, 2024

Controlling escalating cloud and AI costs and preventing data leakage are the top reasons why enterprises are eying hybrid infrastructure as their target AI solution. IDC forecasts that global spending on private, dedicated cloud services — which includes hosted private cloud and dedicated cloud infrastructure as a service — will hit $20.4

IT 135

IT Data Processing Enterprise Modeling 135

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

Smarten

SEPTEMBER 28, 2022

Plan and forecast accurately.’. Predictive Analytics utilizes various techniques including association, correlation, clustering, regression, classification, forecasting and other statistical techniques. Businesses must control quality or risk losing customers and market share and exposing the enterprise to legal risk and liability.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

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

JANUARY 4, 2021

Planners began to integrate functional and departmental plans into their own forecasts. As volatility in pricing, sales, and trade flows spiked around the world, financial planners bore witness to their forecasts going out of date at an alarming pace. Speed was one of the main qualities tested. Why choose Tidemark?

Forecasting 98

Forecasting Finance Testing Sales 98

Smarten

JUNE 8, 2022

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

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 98

Data-driven IT Finance Forecasting 98

Jet Global

FEBRUARY 29, 2024

The 3 Biggest Budget Stumbling Blocks Effective planning, budgeting, and forecasting is a critical exercise that sets the foundation for the month or year ahead and requires careful consideration and prioritization. Inaccurate or outdated information can undermine the credibility of budget forecasts and hinder informed decision-making.

Forecasting 52

Forecasting Reporting Data-driven Software 52

Jet Global

MAY 16, 2023

By connecting solutions across the insightsoftware portfolio, organizations can now choose the capabilities they need for effective reporting, controllership, and budgeting and planning, while improving productivity, user experience, and reducing implementation risk. Good things happen when you’re well connected.

Uncertainty 52

Uncertainty Finance Cost-Benefit Reporting 52

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. “We

Finance 59

Finance Forecasting Reporting Cost-Benefit 59

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.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

O'Reilly on Data

FEBRUARY 11, 2019

Recent improvements in tools and technologies has meant that techniques like deep learning are now being used to solve common problems, including forecasting, text mining and language understanding, and personalization. Temporal data and time-series analytics. Forecasting Financial Time Series with Deep Learning on Azure”.

Big Data 207

Big Data Technology Machine Learning Deep Learning 207

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

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 122

Data Analytics Diagnostic Analytics Management Analytics 122

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 81

Insurance Risk Data-driven Finance 81

O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

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.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Jet Global

JUNE 5, 2023

Centralized Data Creates Confidence in Compliance Tax departments of multinational financial services companies are typically decentralized and delivered in-country with limited direction from the group head office, which will normally establish local parameters and expectations.

Insurance 52

Insurance Finance Forecasting Reporting 52

IBM Big Data Hub

OCTOBER 30, 2023

Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

Insurance 79

Insurance Data Warehouse Data-driven Unstructured Data 79

FineReport

APRIL 9, 2024

Moreover, BI platforms provide the means for organizations to harness their data assets effectively, leading to improved customer satisfaction through personalized services and targeted marketing initiatives. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 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

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

Smart Data Collective

FEBRUARY 14, 2023

Video game data analytics involves the collection and gameplay analytics that allows one to understand the game’s problems and make a forecast of its development. Data integrity control. Obviously it’s impossible to do without a game data analyst.

Big Data 117

Big Data Data Analytics Analytics Testing 117

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 Data Governance Key Performance Indicator Data Quality 111

Jet Global

JANUARY 24, 2024

Today’s dynamic market landscape calls for trustworthy rolling forecasts and agile scenario planning, adding to your already-complex budgeting process. Continuously monitor and easily update your forecasts throughout the year for greater insight and increased agility.

Forecasting 52

Forecasting Finance Reporting Software 52

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 5, 2023

Tax teams of multinational enterprises (MNEs) face increasing challenges to manage business and market risks effectively while reporting, as well as the shift of resources within companies. By doing so, you’ll be able to optimize your tax technology and processes so you can both spot data insights and mitigate risk.

Reporting 52

Reporting Forecasting Software Finance 52

Jet Global

JUNE 28, 2022

The digitalization of tax and operational transfer pricing processes can have a huge impact on a multinational company’s ability to efficiently forecast and report its tax liability. A Holistic Approach to Tax Forecasting, Transfer Pricing, and Tax Reporting. Making the Transition to Digitalized Tax and Transfer Pricing.

Software 52

Software Forecasting Reporting Finance 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

Jedox

MARCH 5, 2020

With a modern EPM solution, several different data points are integrated and consolidated – including automated verification of data integrity. New data points can be added from different sources at any time, so the database is always up to date. Old versions of outdated software are always lurking around.

Data-driven 52

Data-driven Software Manufacturing Forecasting 52

Jet Global

JULY 31, 2022

Tangibly, this means more planning, more accurate and deeper forecasting, and more strategic decision-making based on real-time reporting. Shorten cycles to support continuous planning – With an intuitive interface, planners can create any type of budget, forecast, or planning form to support a robust and cohesive planning process.

Finance 52

Finance Forecasting Operational Reporting Reporting 52