IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

Smarten

MAY 14, 2019

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 Using External Data. Learn More: Demand Planning.

Predictive Analytics 56

Predictive Analytics Analytics Predictive Modeling Forecasting 56

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? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

bridgei2i

APRIL 28, 2020

Episode 2: How Data & Analytics Can Help in a Downturn. How Data & Analytics Can Help in a Downturn. In this episode, best-selling author and expert on Infonomics, Doug Laney delves into how enterprises can navigate their way out of the crisis by leveraging data. Listening time: 13 minutes.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

Jedox

FEBRUARY 13, 2020

The power of artificial intelligence (AI) lies within its ability to make sense of large amounts of data. For the increasing support of planning, budgeting and controlling processes through advanced analytics and AI solutions, powerful data management and data integration are an indispensable prerequisite.

Forecasting 58

Forecasting Predictive Analytics Sales Data Integration 58

Jedox

JANUARY 13, 2023

Increasing efficiency in an organization’s planning, budgeting, and forecasting processes is a key component of financial planning software, according to Gartner. To that end, finance leaders can prioritize solutions that facilitate faster data integrations through prebuilt connectors and offer an intuitive user experience to drive adoption.

Software 52

Software Finance Forecasting Data Lake 52

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 110

Big Data Forecasting Cost-Benefit Machine Learning 110

BizAcuity

APRIL 6, 2022

Crypto casinos need a solid operation strategy, an analytics platform and a fail-safe mechanism in place. Moreover, there should be a powerful data management and analytics pipeline for operational usage. If you would like to strengthen your data and BI strategy, BizAcuity can help you with the same. Contact Us.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

Smarten

APRIL 2, 2019

Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. Advanced analytics is the logical tool to help a business optimize its investments and achieve its goals.

Analytics 40

Analytics Predictive Modeling Cost-Benefit Visualization 40

Smarten

JUNE 8, 2022

In this article, we provide some examples of what a Citizen Data Scientist can do to advance the goals and interests of the organization and optimize their productivity and performance. What follows is a short list of sample use cases that leverage predictive analytics. Predicting Demand.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

Smart Data Collective

JULY 20, 2021

Whether it is closing more sales deals, getting leads, offering vital customer services, marketing automation, analytics or application development, Salesforce CRM provides a bucket of comprehensive solutions. This tool is designed to connect various data sources, enterprise applications and perform analytics and ETL processes.

Sales 141

Sales Big Data Marketing Software 141

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

Insurance 84

Insurance Data Warehouse Data-driven Unstructured Data 84

Smart Data Collective

NOVEMBER 24, 2020

The current BI trends show that in the future, the BI software will be more accessible, so that even non-techie workers will rely on data insights in their working routine. Prescriptive Analytics. Also, it is expected that the integration of BI solutions with any third-party services will be more seamless. QlickSense.

Business Intelligence 132

Business Intelligence Visualization Dashboards Prescriptive Analytics 132

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. Overall, DataOps is an essential component of modern data-driven organizations. Query> DataOps. Query> Write an essay on DataOps.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

CIO Business Intelligence

APRIL 25, 2022

The other 10% represents the effort of initial deployment, data-loading, configuration and the setup of administrative tasks and analysis that is specific to the customer, the Henschen said. The joint solution with Labelbox is targeted toward media companies and is expected to help firms derive more value out of unstructured data.

Recreation/Entertainment 116

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 116

IBM Big Data Hub

JULY 26, 2023

Learn more about IBM Planning Analytics What is Zero-Based Budgeting? Financial Planning and Analysis (FP&A) Software: Offer dedicated features for budgeting, forecasting, and financial analysis. They often come with advanced analytics capabilities, enabling organizations to make data-driven budgeting decisions.

Cost-Benefit 61

Cost-Benefit Optimization Visualization Data-driven 61

Jet Global

OCTOBER 28, 2021

Deal accelerates insightsoftware’s enterprise position in operational reporting by adding market-leading data analytics and integration products including SAP and Oracle ERP reporting solutions. The company’s data integration and connectivity solutions help customers better manage distributed data sources across the enterprise.

Operational Reporting 83

Operational Reporting Finance Data-driven Reporting 83

Smarten

SEPTEMBER 17, 2019

With the right Advanced Analytics Tools , business users can have access to data integrated from disparate data sources and can use that date for Advanced Data Discovery so they can gain insight into problems and opportunities, share information with other users and be more productive, empowered and accountable.

Predictive Analytics 51

Predictive Analytics Forecasting Visualization Data Integration 51

CIO Business Intelligence

JUNE 13, 2022

And the chatbot would be able to understand what you were asking, run analytics on your purchases, and give you a total. Juniper Research forecasts that in 2023 the global operational cost savings from chatbots in banking will reach $7.3 Data integration can also be challenging and should be planned for early in the project. .

Data Processing 94

Data Processing Deep Learning Insurance Cost-Benefit 94

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

AWS Big Data

MARCH 29, 2024

You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. With these insights, teams have the visibility to make data integration pipelines more efficient. Aggregating metrics and slicing data by different dimensions such as job name can provide deeper insights.

Metrics 101

Metrics Visualization Dashboards Interactive 101

FineReport

APRIL 9, 2024

In addition to security concerns, achieving seamless healthcare data integration and interoperability presents its own set of challenges. The fragmented nature of healthcare systems often results in disparate data sources that hinder efficient decision-making processes.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Jedox

JULY 31, 2018

Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive. Analytic Evolution in Enterprise Performance Management. Advanced analytics responds to next-generation requirements. This is known as prescriptive analytics.

Technology 43

Technology Prescriptive Analytics Machine Learning Business Intelligence 43

Jedox

APRIL 30, 2020

Flexibility is an absolute must for your planning solution to support a Sales Compensation Model, as well as extensive analytic and reporting capabilities. Let’s dive deeper: Data integration. Reporting and analytics. Paying sales teams accurately is the primary objective of any sales compensation software.

Sales 52

Sales Management Reporting Interactive 52

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Jedox

APRIL 23, 2020

Sales Performance Management (SPM) is defined as a set of operational and analytical process to help align selling resources with business priorities. Data-driven analytics to speed up decisions and actions. Rigid Data Integration. This requires heavy IT involvement to get the data ready from the source system.

Sales 52

Sales Management B2B Dashboards 52

Jet Global

DECEMBER 7, 2020

Founded in 1990 and headquartered in Germany, IDL offers a financial performance suite, including software solutions for financial consolidation, planning, reporting and analytics. For the Office of the CFO, the monthly consolidation and close process can be overly complex and highly manual. Visit insightsoftware.com for more information.

Finance 52

Finance Software Reporting Forecasting 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 Data Governance Key Performance Indicator Data Quality 111

CIO Business Intelligence

MARCH 16, 2022

CIO Middle East: Data Analytics is key in healthcare. When we look into the analytics scenario of healthcare, the accurate word to describe it is ‘clinical business intelligence’. The same goes for the adoption of data warehouse and business intelligence. How you see the role of business intelligence in healthcare?

Technology 106

Technology Digital Transformation Business Intelligence Data Warehouse 106

Ontotext

APRIL 6, 2023

It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. This can lead to operational cost cutting and improve competitiveness.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

AWS Big Data

FEBRUARY 1, 2023

AWS Glue for ETL To meet customer demand while supporting the scale of new businesses’ data sources, it was critical for us to have a high degree of agility, scalability, and responsiveness in querying various data sources. You can use it for analytics, ML, and application development.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). Data Security : Financial data is highly sensitive and requires robust security measures.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

IBM Big Data Hub

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization.

Analytics 70

Analytics Optimization Data-driven Metrics 70

CDW Research Hub

MAY 28, 2021

As we move forward, hybrid cloud continues to be the data storage strategy that helps organizations gain cost-effectiveness and increase data mobility between on-premises, public cloud and private cloud without compromising data integrity. Investment in AI.

Optimization 52

Optimization Deep Learning Enterprise Software 52

Alation

FEBRUARY 13, 2020

In the latest IDC Innovators: Data Intelligence Software Platforms, 2019 3 report, Alation was profiled as one vendor disrupting the data integration and integrity software market with a differentiated data intelligence software platform.

Machine Learning 52

Machine Learning Big Data Data Governance Digital Transformation 52

Smart Data Collective

FEBRUARY 14, 2023

We have discussed the compelling role that data analytics plays in various industries. In December, we shared five key ways that data analytics can help businesses grow. The gaming industry is among those most affected by breakthroughs in data analytics. Data integrity control.

Big Data 119

Big Data Data Analytics Analytics Testing 119