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
Gupshup’s carrier-grade platform provides a single messaging API for 30+ channels, a rich conversational experience-building tool kit for any use case, and a network of emerging market partnerships across messaging channels, device manufacturers, ISVs, and operators. Easily gain insight into trends, delivery rates, and speed.
This is a guest post co-written by Alex Naumov, Principal Data Architect at smava. smava believes in and takes advantage of data-driven decisions in order to become the market leader. smava believes in and takes advantage of data-driven decisions in order to become the market leader.
By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operationaldata, and machine learning models to leverage insights and automate decision-making.
In today’s data-driven world, seamless integration and transformation of data across diverse sources into actionable insights is paramount. With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog.
It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operationalreporting needs. As business processes grew more complex, the data transparency and visibility suffered.
Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Publishing and Administering Dashboards and Reports in Power BI for the Organisation.
Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Publishing and Administering Dashboards and Reports in Power BI for the Organisation.
Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Publishing and Administering Dashboards and Reports in Power BI for the Organisation.
Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Publishing and Administering Dashboards and Reports in Power BI for the Organisation.
Enter operationalreporting, the change agent in our story. In the past year alone, a staggering 66% of IT decision-makers have witnessed a surge in requests for operationalreports. Recent findings highlight the increasing importance of operationalreporting and the significant impact it has on organizations.
Operationalreporting is an effective, results-driven means of tracking, measuring, and analyzing your business’s regular deliverables and metrics. These dynamic reports offer invaluable insights into various logistical aspects relating to your organization’s activities across the board. Blind Spots and Data Silos.
Todays decision-makers and data-driven applications demand more than static dashboards and generic insightsthey need a system that evolves with their business and delivers contextually precise, actionable analytics. In the BI world, where data must be precise, this is unacceptable. How Does It Work? Thats where Simba comes in.
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. How do you ensure greater efficiency and accuracy for your financial reports?
However, the path to cloud adoption is often fraught with concerns about operational disruptions, downtime, and the complexities of maintaining seamless business operations. According to recent FSN research , just one day of data downtime can equate to a six-figure cost for your organization.
A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.
Modern data infrastructure demands tools that scale effortlessly to handle growing volumes and complexity. Its distributed architecture empowers organizations to query massive datasets across databases, data lakes, and cloud platforms with speed and reliability.
If you’re relying on JasperReports or Crystal Reports to power your datareporting and insights, you’ve likely heard the news: many popular versions are reaching end-of-life, and it’s time to start planning your next steps. Skills shortages only exacerbate this problem.
When extracting your financial and operationalreportingdata from a cloud ERP, your enterprise organization needs accurate, cost-efficient, user-friendly insights into that data. While real-time extraction is historically faster, your team needs the reliability of the replication process for your cloud data extraction.
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. Investing in user-friendly tools with outstanding data integration options will help make the transition seamless.
The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.
Thanks to Data? Enter the torpedo barrela radical, data-driven redesign. This is the next wave of what Moneyball started: using data not just to draft talent, but to design performance. While other teams stuck with tradition, the Yankees let the data leadand redesigned the game. Data is no longer a nice-to-have.
Info-Tech has released its 2025 Data Quadrant Report , which recognizes the best in technology solutions. Evaluating feedback from 3,433 users, this years report turned its focus toward business intelligence (BI) and analytics solutions that drive better decision-making for customers.
In a survey of 375 Oracle-driven finance leaders , insightsoftware and Hanover Research found skills shortages soared to the number one factor that drives Oracle users to be more efficient, with 92% of Oracle ERP finance teams grappling with skills shortages to some degree. With Hubble, you can: Get up and running quickly.
Analytics are the gateway to understanding, enabling users to interact with and interpret the insights generated through data collection, preparation, and analysis. Time Loss in the Wees of Ad Hoc Requests A key hidden cost of suboptimal analytics is the drain on development resources caused by ad hoc reporting requests.
A recent KPMG report shows that 60% of leaders are gearing up to invest in cutting-edge digital technology to fortify their supply chain processes, elevate data synthesis, and amplify analysis capabilities. Many operationalreporting teams remain buried under static PDF reports or rigid native ERP functionalities.
By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint.
Fast, Flexible Reporting and Analytics for Any Microsoft Dynamics Data Source Jet Analytics and Jet Reports seamlessly integrate with all Microsoft Dynamics ERPs to simplify processes and speed up financial and operationalreporting. Quickly and easily generate timely, accurate financial reports with Jet Reports.
In a rapidly evolving business environment, timely insights from data and the ability to react quickly to change are critical. Business intelligence is a key tool, empowering companies to get the most out of their data by providing tools to analyze information, streamline operations, track performance, and inform decision-making.
Understanding your SAP data to its fullest is the first step o n the journey towards a more sustainable future. W ith a n advanced operationalreporting solution that delivers proper data analysis , you can put your best foot forward.
It seamlessly integrates data insights into existing workflows, boosting user engagement, and enabling real-time decision-making. With enhanced security, customization, scalability, and user empowerment, embedded analytics is a true path forward for analytics teams seeking to thrive in today’s data-driven business landscape.
For many organizations, Qlik is the trusted platform that powers their data-driven decision-making. Enter Vizlib by insightsoftware —a game-changing solution that transforms how you interact with and present your Qlik data. That’s where Vizlib stands out.
That means embracing technology for streamlined processes, accurate data, and better collaboration. That’s where Jet Reports from insightsoftware comes in. This means you get real-time, accurate data without the headaches. Relying on outdated data is like driving a car blindfolded.
Much like an outdated oven can still be used to cook a meal, outdated planning processes like manual data entry, static spreadsheets, and inflexible budgeting models can still get your budget done, but it won’t be nearly as efficient as using technology designed for today’s data environment.
With multitudes of regulations surrounding everything from reporting to data security, organizations can quickly become overwhelmed. The Sarbanes-Oxley Act of 2002 imposes an annual SOX compliance requirement on publicly traded companies operating in the United States. Implement internal controls to monitor access to data.
Oracle-driven finance teams today face increasingly complex challenges. Offering robust functionalities, your Oracle ERP can help overcome common finance challenges while moving beyond manual data entry into spreadsheets. Customizing these reports adds even more time to the process.
In today’s data-driven world, application and development teams are facing a growing demand to empower their users with greater decision intelligence. By providing these tools, your users can transform their raw data into actionable intelligence, driving data-driven business decisions.
In today’s fast-paced market, data has become the lifeblood of decision-making. For application teams and users, having access to insightful and actionable data is not just a luxury; it’s a necessity. AI integration bridges the gap between data and action, making analytics an integral part of the application experience.
In the dynamic field of Business Intelligence (BI) , stability and consistency are paramount for accurate and reliable data analysis. Imagine trying to analyze data with a constantly changing backend—it’s like kicking the legs out from underneath a table and still expecting it to stay upright.
Unlocking the power of AI within SAP for your team requires overcoming a significant hurdle: data accessibility. SAP data’s complexity, spread across various modules, creates silos of information that your team might struggle to understand and utilize effectively.
At insightsoftware, we deliver advanced analytics with Logi Symphony , which offers powerful self-service and managed dashboards, AI-driven assistance, and broader accessibility to users at every level. These enhancements transform how users access and gain insights from their data.
While there is talk of the first filing being delayed until 2026, this still only leaves limited time to build robust systems and processes for gathering, verifying, and reporting comprehensive ESG data. Moving data across siloed systems is time-consuming and prone to errors, hurting data quality and reliability.
Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future. At its heart, predictive analytics answers the question, “What is most likely to happen based on my current data, and what can I do to change that outcome?”
For instance, AI-driven optimization can streamline operations, from the factory floor to the distribution center, resulting in substantial cost savings and improved customer satisfaction. Demand Forecasting: Machine learning analyzes sales data to predict future demand, leading to better inventory management and resource allocation.
In today’s data-driven world, having accurate, timely insights into data is critical. When your operational and financial reporting teams are extracting and transforming Oracle E-Business Suite (EBS) data, it can be a complex, cumbersome task and they need a way to handle data that empowers them to overcome reporting obstacles.
We organize all of the trending information in your field so you don't have to. Join 42,000+ 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