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Business Intelligence Tools Ibm – ARMONK, N.Y., Nov. 3, 2022 /PRNewswire/ — IBM (NYSE: IBM) has announced new software designed to help companies break down data and analytics silos so they can make data-driven decisions quickly and overcome unexpected disruptions. IBM Business Analytics Enterprise is a suite of business intelligence planning, budgeting, reporting, forecasting, and dashboard capabilities that provide users with a powerful view of data sources across their business. Along with IBM Planning Analytics with Watson and IBM Cognos Analytics with Watson, the suite also includes the new IBM Analytics Content Hub which helps streamline the way users discover and access analysis and planning tools from multiple vendors in one, personalized dashboard view.

According to an August 2022 Forrester report, advanced insight-driven organizations are 1.6x more likely to report using data, analytics, and insights to create experiences, products, and services that set them apart in the marketplace when compared to startups

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. However, today’s companies face highly dynamic operating environments where they must cope with unforeseen events such as supply chain disruptions, labor and skills shortages, evolving regulations, and more. The complexity of storing data in different silos can make this more challenging as teams collaborate across different business intelligence and analytics tools. To become data-driven, businesses can differentiate themselves by creating enterprise-wide strategies that allow them to unify their tools and put insights into the hands of decision makers.

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Building on IBM’s existing portfolio of business intelligence solutions, IBM Business Analytics Enterprise includes the new IBM Analytics Content Hub. It is designed to allow users to view planning and analytics dashboards from multiple vendors, including tools such as IBM Cognos Analytics with Watson, IBM Planning Analytics with Watson, and other common business intelligence tools into a single view that combines elements from each in a customized dashboard. . with their unique needs. Additionally, it features algorithms that can recommend role-based content to help users view new stories, reports, and dashboards from across the organization to aid decision making. More and more users are clicking on content within IBM Analytics Content Hub, the solution analyzes usage patterns to recommend content that fits their specific interests.

New Capabilities for IBM Cognos Analytics with Watson ; IBM Planning Analytics with Watson is expected to be available on AWS

With today’s news, IBM Cognos Analytics with Watson, an AI-powered business intelligence solution, now also includes new integration capabilities and improved forecasting that allow users to consider multiple factors and seasons in their trend predictions. Additionally, IBM Planning Analytics with Watson, an AI-powered solution that helps streamline operational and financial planning, is expected to be available as a Service on AWS later this year.

IBM Business Analytics Enterprise is designed to help break down silos so the right team can get the right data at the right time. For example, an organization’s sales, HR, and operations teams each need access to data and insights from different business intelligence and planning tools for their specific needs, such as optimizing sales goals, building workforce forecasts, or predicting operational capacity. But if data sharing and reporting across departments is required, complications can arise as the team uses multiple solutions. This can result in duplicate content across applications, which can compromise data consistency and quality. IBM Business Analytics Enterprise helps enterprise data become more shareable, while remaining protected and avoiding data duplication by giving users across departments a single point of entry to view the data they need.

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“Businesses today are trying to become more data-driven than ever before as they navigate the unexpected in the face of supply chain disruptions, workforce and skills shortages, and regulatory changes,” said Dinesh Nirmal, General Manager Data, AI and Automation , IBM. “But to be truly data-driven, organizations need to be able to provide their disparate teams with more comprehensive access to analytics tools and a more complete picture of their business data, without compromising their compliance, security, or privacy programs. IBM Business Analytics Enterprise offers a way to unify analytic tools in a single view, regardless of which vendor they come from or where the data resides.”

ALH Gruppe is Germany’s leading financial and insurance company, and with thousands of employees needing access to data insights, most of whom are not data scientists or highly technical users, they were looking for solutions to help further streamline their data infrastructure.

“We’ve used IBM Cognos Analytics with Watson for over a decade to support all kinds of decision making across our business. We often use it in conjunction with other business intelligence tools, and one of the challenges is that they always co-exist with no connection between them. they and the data are segregated,” says Bernd Oerthle, Head of Reporting and Analytics Infrastructure, ALH Gruppe. “With the new IBM Analytics Content Hub, we plan to connect internal stakeholders to several different BI solutions for easy access to self-service data, enabling better support for our end customers.”

Subsequent releases of Business Analytics Enterprise build on IBM’s strategy of providing businesses with tools to support data-driven decision making. IBM Cloud Pak for Data and IBM business intelligence solutions work together to help clients create data structure architectures that simplify data integration, enabling them to run their analytics anywhere and leverage data across disparate environments.

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Learn more about IBM Business Analytics Enterprise by reading the blog post or starting today by visiting:

Statements regarding IBM’s future direction and intent are subject to change or cancellation without notice, and represent goals and objectives only.

IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries leverage insights from their data, streamline business processes, reduce costs, and gain a competitive advantage in their industries. Nearly 3,800 governments and corporate entities in critical infrastructure areas such as financial services, telecommunications, and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to impact their digital transformation quickly, efficiently, and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services provide our clients with open and flexible options. All of this is underpinned by IBM’s legendary commitment to trust, transparency, responsibility, inclusiveness and service. For more information, visit By clicking Login with Social Media, you agree to allow PAT RESEARCH to store, use and/or disclose your Social Media profile and email address in accordance with PAT RESEARCH’s Privacy Policy and agree to the Terms of Use.

Business Intelligence Solution transforms raw data into meaningful and useful information for intuitive knowledge presentation and for publishing business intelligence objects.

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Business Intelligence solutions enable intelligence data collection and ingestion through enrichment and augmentation. Business Intelligence solutions can handle large amounts of information through collaboration.

Business Intelligence solutions help identify and develop new opportunities through theory, methodology, process, architecture and technology.

Deployment of business intelligence can bring additional business value across all business verticals. Tangible benefits can be achieved in measurement, analytics, reporting, enterprise reporting, collaboration, collaboration platforms, knowledge management.

Business Intelligence tools are used to provide insights from structured data. With the tool, companies can track various user-defined KPIs. Business Intelligence tools drive data-driven decision-making processes.

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The availability of Business Intelligence tools in the cloud enables fast, real-time access to critical data regardless of location. Data can be integrated and formatted from multiple sources and this allows managers to run a variety of ad hoc reports. Business process improvement leads to increased efficiency and productivity.

Business intelligence tools enable seamless user scalability across a wide range of business enterprises – from a single user to hundreds of users without significant cost changes.

Tools allow integration of powerful reporting software such as Crystal Reports. Reports can be customized for use by customers, boards of directors, managers, and personnel. BI-generated charts, graphs, and visualizations can be integrated with existing custom applications.

Insights are provided for historical and real-time data. The resulting reports can be exported in various user-defined formats such as Excel, PDF or PowerPoint presentations. Users monitor various analytical metrics from a user-friendly dashboard that can be customized according to user preferences. Real-time access to this critical data allows decision makers to take action as they arise. Ultimately, BI tools are great for reducing risk and increasing efficiency.

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Centralization of enterprise databases encourages collaboration between different departments while eliminating duplication of resources. Some Business Intelligence tools are open source and this allows customization and integration with other applications. The data is organized in columns by users who have access to various analytic filters. The resulting analysis reports can be shared with colleagues via email at scheduled intervals.

Business Intelligence solutions use data collected from data warehouses or data marts. Source data is collected from various sources through transformation and stored in the infocube or data warehouse. A data warehouse is an analytical data warehouse that facilitates decision support.

The Business Intelligence Framework is concerned with how end users see solutions integrated in BI tools. End users can be managers, employees, board of directors or other important decision makers. The business architecture framework divides this view into three.

The framework will start with a data source

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