This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Rick is a well experienced CTO who can offer cloud computing strategies and services to reduce IT operational costs and thus improve the efficiency. David is also a contributor to IEEE Cloud Computing and has published countless number of articles and books over the years. Maximiser, Miller Heiman and more.
For instance, you could be the “self-service BI” person in addition to being the system admin. For instance, you will learn valuable communication and problem-solving skills, as well as business and datamanagement. You need to be good at examining many different sources of data and then making accurate conclusions about them.
Embedded analytics are a set of capabilities that are tightly integrated into existing applications (like your CRM, ERP, financial systems, and/or information portals) that bring additional awareness, context, or analytic capability to support business decision-making. The Business Services group leads in the usage of analytics at 19.5
Traditional data analytics models often create bottlenecks, relying heavily on overextended IT departments to provide insights, which delays decision-making and limits agility. To truly transform how your business harnesses data, you need a powerhouse solution designed to meet these needs head-on. Want to learn more?
Hotels use RevPAR to benchmark against competitors and evaluate the effectiveness of revenue management strategies. Customer satisfaction and service quality are paramount in hospitality, making customer satisfaction (CSAT) scores and customer retention rates essential KPIs.
By integrating directly with Oracle ERPs, Spreadsheet Server enables users to create dynamic reports and allows stakeholders to drill down into current data, ensuring the most accurate and timely insights are available. Maintain a Single Source of Truth Ensuring data integrity is of utmost importance during migration.
Google’s cloud marketplace allows independent software vendors to benefit from pre-validated compliance measures that accelerate deployment in highly regulated industries, making it an appealing choice for application teams. This integration enables your application to efficiently analyze massive first- and third-party datasets.
By combining self-learning artificial intelligence with governed, secure, and vendor-agnostic frameworks, Logi AI sets the gold standard for BI tools. Data Exposure Risks Public AI models require training on external data, exposing sensitive dashboards, proprietary metrics, and client information to unknown entities.
Although Oracle E-Business Suite (EBS) provides a centralized hub for financial data, the manual process of exporting data into spreadsheets is both time-consuming and prone to errors, forcing finance teams to spend considerable time verifying numbers. Hubble acts as a central hub, integrating data from various sources.
This includes databases like Microsoft SQL server, IBM DB2, etc., data lakes & warehouses like Cloudera, Google Big Query, etc., Secure DataManagement: IT security, cybersecurity and privacy protection are vital for companies and organizations today. and business intelligence systems like Looker, Power BI, etc.
With that in mind, we have prepared a list of the top 19 definitive data analytics and big databooks, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. Essential Big Data And Data Analytics Insights. Discover The Best Data Analytics And Big DataBooks Of All Time.
Its distributed architecture empowers organizations to query massive datasets across databases, data lakes, and cloud platforms with speed and reliability. Optimizing coordinators and workers ensures efficient query management, while intelligent load balancing prevents performance bottlenecks.
Your organization has decided to make the leap to SAP S/4HANA Cloud Public Edition, a strategic choice that offers improved performance, advanced analytics, and more efficient support for your business operations. In fact, according to our recent study of SAP users, 76% of SAP-based finance teams felt over-reliant upon IT.
Below are the four most common types of dashboards, each designed to support a specific purpose and audience: Operational Dashboards provide real-time or near real-time data, helping frontline teams monitor day-to-day activities such as sales performance, inventory levels or website traffic. KISS Keep It Simple, Stupid.
These indicators help assess how effectively the airline sells its services and maximises passenger income. For FP&A teams, CASK is essential as it guides cost control efforts, supports budgeting and forecasting activities, and enables strategic decision-making to optimise operational efficiency and profitability.
Our research shows that some tasks, such as financial system maintenance (43%), management report generation (38%), or audit preparation/support (36%), are highly automated amongst Oracle-driven teams, often using tools like Oracle Financial Reporting Studio. A significant portion of time is wasted with manual processes.
Here’s a look at the different transfer pricing methods these organizations can consider, as well as additional information to improve calculations that support this methodology. Resale-Minus The resale-minus method bases its pricing on the resale price of a product or asset sold to a thirdparty.
Check out our webinar on self-service subledger reconciliations for a quick primer on when and how to best use self-service subledger reconciliations for your organization. Hubble Best Practices: Self Service Subledger Reconciliations Download Now Why Do We Need to Reconcile Accounts?
Epicor technical skills are in short supply and a no-or low-code reporting solution bypasses this limitation, allowing your team to autonomously generate value from your ERP data with self-service report creation. Spreadsheet Server empowers your team with self-service reporting.
Unlike other vendors, JustPerform focuses on letting business users at all levels drive CPM activities, empowering them with an intuitive interface and industry best practices. It guides enterprises and organisations in business planning, consolidation, and performance monitoring.
The Impact of Effective Business Intelligence and Analytics Business intelligence (BI) comes in many forms, each designed to meet different needsfrom self-service analytics for business users to deeply embedded solutions for application teams.
But we’re also seeing its use expand in other industries, like Financial Services applications for credit risk assessment or Human Resources applications to identify employee trends. Can’t let future integrations, feature upgrades, or security flaws from third-party UI components risk their app or software crashing.
If you rely on IT or external consultants to make custom reporting changes – adding columns, adding data sources, and more – this causes delays that eat into the time you have available for analysis. To complicate matters further, developer support for Crystal Reports is being discontinued at the end of 2024.
Due to these and other common operational reporting challenges with the ERP, Microsoft D365BC recommends that enterprises use Power BI, custom reporting (SSRS), or third-party software for reporting and analysis. Increased Data Accuracy. A Better Way Forward with insightsoftware.
New browser restrictions are on the way for Google Chrome that can block some third-party content that uses cookies from being accessible to users by default, in addition to restrictions in Safari and Firefox you may have already seen. Google is planning to phase out third-party cookies for Chrome users in 2024.
Managing Multiple Data Sources: Whether pulling HR records, payroll details, or financial information, the drivers unify these data sources, so you can create meaningful reports across business areas. Secure by Design In today’s data-driven world, robust security isn’t optional—it’s essential.
Deploy in weeks, not quarters Let your devs focus on your core productnot reinventing analytics Stay current with built-in innovations like AI insights and governed self-service Deliver a seamless, white-labeled experience your users will actually enjoy The result? Youre Not Too LateBut Youre Almost Out of Time.
Demand for new capabilities: If your users demand advanced capabilities and self-service analytics, using basic dashboards and reports may lead to increased customer churn. They expect features like embedded self-service analytics, write-back, and workflow capabilities to seamlessly integrate with their other tools. So, now what?
To mitigate this challenge, consider embedding self-service analytics into your application. Follow these steps to measure the impact of current ad hoc requests and evaluate the potential benefit of a self-service solution: Track Request Frequency: Monitor how often custom reporting or data analysis requests are submitted.
The Deltek Marketplace provides partner solutions, business services, and integrations across the project lifecycle that allow project-based businesses to unlock potential, accelerate operations, and improve profitability. At their core, a project-based business provides services as they deliver the project.
Self-service analytics has been a leading priority in the business intelligence (BI) space for years and is likely here to stay. With data-driven culture on the rise, analytics is no longer just for IT teams and data scientists. What Is Self-Service Analytics? Analyses can be both self-service and ad hoc, however.
A modern solution like Longview Tax allows you to streamline datamanagement, compliance, and reporting with the accuracy and agility required to tackle future tax challenges confidently, building resilience and reducing compliance risks. Want to learn more about how you can manage complex tax compliance with a single source of truth?
Artificial Intelligence The benefits of AI, such as accounting support, anomaly detection, and financial analysis are undeniable. However, due to factors like insufficient use cases, lack of necessary technical skills, low-quality data, and a general reluctance to embrace new technology, the finance industry has been slow to adopt AI.
Automating DataManagement to Transform Reporting Processes. Furthermore, validation checking is frequently insufficient to guarantee a flawless data transfer. Automation and datamanagement go hand-in-hand. The difficulties are further compounded by lack of automation.
Shaping the Future: Conquering Finance Challenges in 2025: Oracle Edition Download Now: " * " indicates required fields This field is hidden when viewing the form Select Your Closest Time Zone -- Select One -- This field is hidden when viewing the form Platform * First Choice Second Choice Third Choice Use Case * -- Select One -- I'm a current (..)
few key ways to reduce skills gaps are streamlining processes and improving datamanagement. While many finance leaders plan to address the skills gap through hiring and employee training and development, a significant percentage of leaders are also looking to data automation to bridge the gap.
It provides a graphical comparative positioning of technology and service providers with high market growth and product differentiation. Gartner uses an upper limit of 20 providers to support the identification of the most relevant providers in a market. Administration functionality necessary to support planning activities.
With Logi Symphony, these tables are designed to support both reporting and hands-on user-driven analysis, making them a versatile powerhouse for business intelligence. One standout feature is the visibility and interactivity of totals.
Meeting these key performance indicators is crucial for business leaders to assess the performance of internal processes, suppliers, and service providers. It also includes coordination and collaboration with channel partners, which may be suppliers, intermediaries, wholesalers, third-partyservice providers, or customers.
With careful planning and the right tools in place, you can achieve the same or better data security from your cloud implementation than you enjoy from your on-premises deployment. This lack of transparency can create discomfort for organizations used to having their data housed on-premises, where they can oversee its management directly.
Enable Self-Service Reporting and Analysis With Real-Time Data. Leveraging tech tools that enable business users to generate reports using real-time data pulled from multiple existing systems helps to reduce reliance on IT. In the past, the IT department was responsible for datamanagement.
Because retail and food service businesses are uniquely positioned within the market landscape, the need for a reliable budgeting and planning process is crucial. In food service, menus are frequently decided by the season and what products are available. And retail isn’t the only industry impacted by the evolution of sales channels.
The right solution will empower your finance team to shift from tedious datamanagement to high-impact decision-making, driving agility, efficiency, and long-term success. To stay competitive, you need a smarter approachone that streamlines workflows, enhances accuracy, and maximizes ROI.
Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. For example, streaming data from sensors to an analytics platform where it is processed and visualized immediately.
We organize all of the trending information in your field so you don't have to. Join 57,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content