Name: AnaCredit – das große Aufräumen
Start: 2017-02-21T09:00:00Z
End: 2017-02-21T09:50:55.000Z
Location: BrightTALK
Rating: 0

Information Builders helps organisations transform data into business value. Our software solutions for business intelligence and analytics, integration, and data integrity empower people to make smarter decisions, strengthen customer relationships, improve employee performance, and drive growth.
 
WebFOCUS and iWay products cover all information needs – from data inception to information quality and delivery. The market’s leading business intelligence platform, WebFOCUS scales easily to extend the power of analytics to everyone. iWay products simplify the integration of complex data and application environments to deliver projects on time and on budget, capture lost revenue, and eliminate hidden costs generated by inaccurate data.
 
Our dedication to customer success is unmatched in the industry. That’s why tens of thousands of leading organisations rely on Information Builders to be their trusted partner for developing and executing a world-class information strategy.

Traditional ways of looking at data environments don’t work.

There are too many moving pieces, technologies, and data silos. Any digital initiative requires quality, curated data that is readily consumable at the speed of business.

How can you ensure your data ecosystem has a strong and flexible foundation to support the demand for analytical insights – even when faced with sudden shifts in priorities like we are seeing now?

You’ll see how to choose what works for your organization and build a business case for it:

· Evaluate how data is being stored and leveraged and any potential gaps in access (applications, data warehouses, data lakes, cloud, etc.)
· Avoid roadblocks when creating an end-to-end data ecosystem
· Articulate how different teams work across the organization to develop a data platform and bring the data to life in support of the business
· Make the right decisions about on-premise, cloud, and/or hybrid cloud infrastructure with regard to the data ecosystem

Don’t miss this opportunity to hear a data and analytics expert show you how to move to the innovation fast lane, by shifting how you manage your data.

How to thrive with a Data Ecosystem Built for the Speed of Business

Traditional ways of looking at data environments don’t work.

There are too many moving pieces, technologies, and data silos. Any digital initiative requires quality, curated data that is readily consumable at the speed of business.

How can you ensure your data ecosystem has a strong and flexible foundation to support the demand for analytical insights – even when faced with sudden shifts in priorities like we are seeing now? Join our webinar on May 14 to learn the essential considerations for your data ecosystem.

You’ll see how to choose what works for your organization and build a business case for it:

Evaluate how data is being stored and leveraged and any potential gaps in access (applications, data warehouses, data lakes, cloud, etc.)
Avoid roadblocks when creating an end-to-end data ecosystem
Articulate how different teams work across the organization to develop a data platform and bring the data to life in support of the business
Make the right decisions about on-premise, cloud, and/or hybrid cloud infrastructure with regard to the data ecosystem
Don’t miss this opportunity to hear a data and analytics expert show you how to move to the innovation fast lane, by shifting how you manage your data.

Data Points: How to Thrive With a Data Ecosystem Built for the Speed of Business

In today’s market, more and more organizations are looking to become data-driven, which has fundamentally changed the role of the data architect. Organizations need new ways to differentiate themselves from the competition and deliver exceptional customer experiences, and that requires experienced data leaders to support them in that journey.

The Rise of the Business-Driven Data Architect

At the speed technology continues to evolve, pivot, and just plain re-invent itself, knowing which trends to watch is a key differentiator for transformation leaders and implementors looking to level up their agility, deliver results fast, and support the business' long-term goals, which will inevitably include AI.

Join David Menninger, Ventana Research, and Vincent Deeney, Information Builders, as they discuss the five defining data architecture trends for the modern organization.

They'll cover:

- The need for scalable data architectures and elastic data processing
- The rising importance of data quality and data governance
- Supporting unstructured data for AI-driven algorithms
- The shift in hype from Hadoop to cloud data warehouses
- The maturation of streaming data architectures

5 Modern Data Architecture Trends for an AI-Augmented Future

Over the last several decades, the business intelligence (BI) and analytics market has seen a lot of technologies and ideas come and go. Help your organisation see its way forward by tapping into the latest vision of the changing technologies, governance, and organisational structures in data-savvy organisations.

Join Jake Freivald, VP of Product Marketing at Information Builders, and guest speaker Boris Evelson, VP and principal analyst at Forrester Research, for a discussion on 2020 trends that include:

- How data-driven organisations are becoming insights-driven, and how this next-generation approach is helping them take action and develop successful outcomes

- What failures with data warehousing and data lakes have taught us about making smarter lakes, more agile warehouses, and how a combined approach is bringing insights-driven companies more success

- How AI is losing some of its hype even as it starts to show its true value

- How organisations are managing their data and analytics governance processes more effectively to achieve the business outcomes they need

Top Data and Analytics Trends in 2020

For most organizations, digital transformation is creating a complex data landscape with hundreds or even thousands of data sources and multiple workload-specific analytical data stores. In addition, with so much data pouring into the enterprise, business users are buying their own self-service data preparation tools to integrate data independently of IT.

It seems everyone is integrating data with no attempt to share what they create. More and more silos are emerging, making it harder to manage and trust data. Unaware of the complexity, business executives are demanding more agility to remain competitive in a digital economy where customers can churn at the touch of a mobile phone screen. So how can companies remain agile and reduce the time to value when data complexity is on an upward trajectory?

In this webinar Mike Ferguson address this problem and show how companies can establish a strategy for delivery of trusted, unified data that speeds up data and analytical processing and shortens time to value.

Mike will discuss:

The data-driven enterprise – vision, expectation, and thirst for new data
Data complexity and challenges caused by the thirst for data
A siloed approach to managing and governing data
Conquering complexity, governing data, and accelerating time to value
Data lake, information supply chain, and data marketplace
Simplifying access to data

Unified Data Delivery From Data Lake to Enterprise Data Marketplace

Analytics is the perfect workload for the cloud: It demands more flexibility in data management, computing power, and user access than typical operational workloads, and the cloud delivers those in spades. But as cloud ecosystems are getting more sophisticated, organizations need to evaluate their options to ensure that they’re getting everything they need at the best price. 

Join us and AWS as we help you understand what you need to know about moving to the cloud. We’ll discuss:

- The differences in handling cloud, hybrid cloud, and multi-cloud environments
- How to deal with on-prem and legacy data in a cloud environment
- What BI and analytics features make the most sense in the cloud
- Considerations for migrating analytics workloads to the cloud
- How Information Builders and AWS can help get you started

Moving Analytics to the Cloud: Understanding Your Options

Master data can be the most important data your company has. Its management is vital to building a strong foundation for integration, analysis, execution, and business value.

As a data professional you face the Fourth Industrial Revolution’s convergence of megatrends around Customer 360, artificial intelligence (AI), big data, programmatic marketing, ABM, and globalization. To survive these unrelenting business pressures, it’s more critical, and strategic, than ever to “put your data to work!”

Your business leaders don’t want tech talk – they want growth.

Join this upcoming webinar to learn:

- Three phases of digital transformation
- The Four 4 'Cs' of master data structure
- The Five Pillars of master data success
- How to link data management to the future of your enterprise

Trend Talks: Master Data as the Foundation for Digital Transform

Poor data quality is enemy number one to the widespread, profitable use of Artificial Intelligence & Machine Learning.” A scary claim. Especially because so many of us know the issue exists, but we don’t know how to address it. In this webinar, we will explore why the “garbage-in, garbage-out” problem in analytics and decision making has remained intractable for generations, as well as some best practice examples of organisations that are doing it right.

Best data practices for implementing Artificial Intelligence & Machine Learning

Everyone in your organization needs information to work smarter, but analytical tools aren't necessarily appropriate for every audience. That's where embedded analytics comes in.

Join Wayne Eckerson from Eckerson Group and Information Builders' CMO Michael Corcoran as they discuss how organizations are getting more value and driving higher user adoption by embedding analytics into environments that business and operations users already use on a daily basis, including Salesforce, Sharepoint, and more.

You will learn:

- How embedded analytics increase business performance in operational environments
- How embedded analytics can align strategy with execution through all levels of the operation, which decreases the time to business impact
- How to use advanced analytics, AI, and machine learning in embedded environments to deploy knowledge and experience – even to novice employees
- The differences and similarities of descriptive, predictive, and prescriptive analytics in embedded scenarios

Trend Talks: Using Embedded Analytics to increase user adoption in operational e

When a resource is important to our business, we watch over it: measure it, manage it, make sure it benefits us.

In this webinar, we take a serious look at how to treat data as such a resource in today’s evolving digital landscape. We will discuss how to ensure that your data quality is sufficiently fit for its purpose, the technology trends that affect how we implement data quality solutions, and how data quality affects those trends.

David Menninger, SVP and Research Director from data and analytics firm Ventana Research, will discuss:

- Data quality use cases, including data integration, the IoT, application integration, and embedded and operational analytics
- How AI affects – and is affected by – data quality
- The role of business users in data quality initiatives
- How data profiling, an unsung hero, is a critical and humanizing part of every data quality process

Trend Talks: Gateway to Modernizing Data Quality for the Enterprise

Predictive analytics, AI, machine learning, and advanced analytics have long been the domain of data scientists using their favorite tools. How does this change in a world where, business people want self-service analytics that takes advantage of these advanced technologies?

Join Martha Bennett from Forrester Research, and Bruce Kolodziej from Information Builders as they cover topics that include:

- How business users can start to use predictive analytics in a self-service mode
- Why it’s important to re-think what “self-service” means to non-technical users
- Where advanced analytics fits within self-service environments, whether standalone, embedded into other applications, or as part of a broader analytical environment
- How Information Builders technology supports these different development and deployment options for systems of insight that exploit predictive analytics

Trend Talks: The changing role of self-service in PA and Advanced Analytics

What are the hottest trends in BI? Join this webinar with independent analyst, Rick van der Lans as he shares his key predictions for the coming years. So many new technologies have been introduced lately and organizations have so many new requirements, that the dynamic world of BI keeps evolving. Attend this webinar to learn about the following five BI trends: (1) Continuation of self-service BI (2) Analyzing streaming data (3) customer-driven BI (4) Data science (5) Data privacy and protection.

5 Hot Data, BI and Analytics Trends

Many organizations have invested heavily in BI projects. But has it all been worth it? What’s the value to the business? Or in other words, what’s the business case? In this webinar, the direct relationship between data and business intelligence and the quality of decision making is shown. The domain of business intelligence is to support decision making with the right data at the right time and in the right form. Join independent analyst Rick van der Lans to hear about the differences the importance of how BI will influences all decision making processes.

Maximising your Information Assets - Building a Business Case for BI

Internet of Things (IoT) data is often isolated within companies – and that means lost value. Even when you begin to integrate IoT data with the business, today’s big data analytics approaches don't support real-time insight and action.

Leading firms differentiate themselves by integrating business information with IoT data to create better customer experiences and more efficient operations. This is achieved by building integrated systems of insights that bring together the right people, processes, and analytics technology in a closed-loop process.

Join our webinar to learn:
•    Why companies are losing value on their IoT investments
•    Actionable tips on how to address top roadblocks
•    What systems of insight look like in action

Trend Talks: Unlocking the insights of opportunity in IoT

Maximum Blockchain Impact with Minimal Risk
Worried about the future of Etherium, Hyperledger Fabric, and all of those other technologies?

Blockchain promises to provide a stable, universal foundation for transactions ranging from supply chains to healthcare to financial services. Companies are concerned about the risk, but the problem isn’t blockchain – it’s the blockchain technology market. 

Come to this Trend Talks webinar to learn about:

- Issues related to developing high-scale blockchain applications
- Roadblocks caused by the fluctuating blockchain market
- Ways to hedge your risk in the blockchain technology ecosystem
- The aspects of these issues that Information Builders technology addresses

Trend Talks: Maximum Blockchain Impact with Minimal Risk

La gestion de la donnée évolue : les volumes à gérer augmentent, les types de données varient, et les entreprises ont besoin d'y accéder de rapidement. La donnée devient volative et pour faire face à ces enjeux, Information Builders propose des solutions d'intégration afin que tout le système d'information des entreprises puisse bénéficier de cette architecture.

Dans cette session vous aurez un aperçu des solutions d'intégration iWay fournissant un environnement robuste et flexible et permettant de répondre aux divers besoins d'intégration.

Trend Talks : Intégration Moderne des Données

How can data science and artificial intelligence be used for the good of society – and what happens when they aren’t? In this thought-provoking session, we’ll explore the tricky interplay between technological advances, desired business outcomes, and the perceived value to both organisations and individuals. We’ll look at some companies that are exemplars of fair play, transparency and privacy, as well as some that push the boundaries for their own gain. Lastly, you’ll be introduced to transferrable best practices which can provide a solid foundation for the ethical use of data in your own environment.

Trend Talks: The Ethics of Data

Wenn Regulatorik zur Chance, statt zum lästigen Projekt wird

Mit der EU-Verordnung zum europaweiten Aufbau einer granularen Kreditdatenbank vom Mai 2016 findet ein Paradigmenwechsel im statistischen Meldewesen statt. 95 Datenattribute müssen auf Einzelkreditebene ab Januar 2018 an die EZB gemeldet werden.

Ist die Datenbeschaffung im Rahmen der Initialmeldung in Ihrem Finanzinstitut bereits gemeistert? Im Online-Seminar am 21. Februar von 10 - 11 Uhr Uhr zeigen wir Ihnen die Möglichkeiten auf, die nötigen Daten automatisiert, valide und nachhaltig für neue Geschäftsprozesse und Digitalisierungsprojekte flott zu machen.

Die Referenten:

Diebold Nixdorf
Ulrich Santelmann, Head of Financial Service Consulting
Axel Luckhardt, Expert Consultant FSC

Information Builders
Jürgen Jertz, Account Manager
Dirk Beerbohm, Technical Account Manager

AnaCredit – das große Aufräumen

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