Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
How do you keep 130,000 guests safely entertained, fed, watered and informed in a sustainable way? Roskilde Festival knew that the critical insights lay hidden in huge volumes of real-time data.
The Copenhagen Business School used IBM technologies to build a cloud big data lab that correlates information from multiple sources, delivering valuable insight for planning and running the festival.
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To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
Effectively using and managing information
has become critical to driving growth in areas
such as pursuing new business opportunities,
attracting and retaining customers, and
streamlining operations. In the era of big data,
you must accommodate a rapidly increasing
volume, variety and velocity of data while
extracting actionable business insight from that
data, faster than ever before.
These needs create a daunting array of
workload challenges and place tremendous
demands on your underlying IT infrastructure
and database systems. In many cases, these
systems are no longer up to the task—so it’s
time to make a decision. Do you use more staff
to keep up with the fixes, patches, add-ons and
continual tuning required to make your existing
systems meet performance goals, or move to a
new database solution so you can assign your
staff to new, innovative projects that move your
Welcome to the era of the digital enterprise, where digital is
your journey and cognitive is your destination. As business
leaders, you are under growing pressure to use information
to its fullest potential, delivering new customer experiences
as fuel for business growth. The digital economy is changing
the way we gather information, gain insights, reinvent our
businesses and innovate both quickly and iteratively
A hybrid cloud environment, combining traditional IT systems
and public cloud, enables you to extend business processes
beyond the walls of your organization. For example, many
organizations use public cloud as a collaborative development
environment to create innovative applications that can then be
ported to an on-premises or hybrid production environment.
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before.
These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
Data is the lifeblood of business. And in the era of digital business,
the organizations that utilize data most effectively are also the most
successful. Whether structured, unstructured or semi-structured,
rapidly increasing data quantities must be brought into organizations,
stored and put to work to enable business strategies. Data integration
tools play a critical role in extracting data from a variety of sources and
making it available for enterprise applications, business intelligence
(BI), machine learning (ML) and other purposes. Many organization
seek to enhance the value of data for line-of-business managers by
enabling self-service access. This is increasingly important as large
volumes of unstructured data from Internet-of-Things (IOT) devices
are presenting organizations with opportunities for game-changing
insights from big data analytics. A new survey of 369 IT professionals,
from managers to directors and VPs of IT, by BizTechInsights on
behalf of IBM reveals the challe
As the information age matures, data has become the most
powerful resource enterprises have at their disposal. Businesses
have embraced digital transformation, often staking their
reputations on insights extracted from collected data. While
decision-makers hone in on hot topics like AI and the potential of
data to drive businesses into the future, many underestimate the
pitfalls of poor data governance. If business decision-makers can’t
trust the data within their organization, how can stakeholders and
customers know they are in good hands? Information that is not
correctly distributed, or abandoned within an IT silo, can prove
harmful to the integrity of business decisions.
Our research reports on the 2,000 executives from the marketing community, across 22 markets, who agreed that innovation drives growth.
However, barriers to innovation remain significant, ranging from isolation within the business, to a lack of insight into the data, and absent support from leadership in 24% of cases, and data remains the second largest issue for marketing with a 10% gap.
New technologies help harness data, demonstrate how innovation will benefit teams and businesses, and help CMOs create a successful innovation agenda.
Read the report
Published By: IBM APAC
Published Date: Aug 25, 2017
The world of business analytics is evolving rapidly, and while there are multiple emerging trends of note, two stand out as particularly impactful. First, there is an expanding and increasingly diverse audience of users that are becoming more analytically active. From mid-level Line-of-Business staff to senior executives on mahogany row, more users in more job functions are taking an increased level of ownership in the insight that fuels their decisions and the underlying data that supports that insight.
As recognized leader in master data management (MDM), and a pioneer in data asset management, TIBCO EBX™ software is an innovative, single solution for managing, governing, and consuming all your shared data assets. It includes all the enterprise class capabilities you need to create data management applications including user interfaces for authoring and data stewardship, workflow, hierarchy management, and data integration tools. And it provides an accurate, trusted view of business functions, insights, and decisions to empower better decisions and faster, smarter actions.
Download this datasheet to learn:
What makes EBX™ software unique
Various capabilities of EBX software
The data it manages
Robotic process automation (RPA) promises huge gains for business services, including lower costs, better market insight and an improved customer experience. But implementing RPA requires a clear plan of action.
Download this guide to:
• understand the different types of automation
• rethink myths around automation that could be holding you back
• plan the first 100 days of your RPA journey
• understand how to manage change as you integrate ‘bots’ into your workforce
• get key insights from more than 50 automation projects worldwide.
Leading banks have been talking about integrating risk and finance operations with the aim of securing a single, consistent and multidimensional view of their businesses for years. But with a few exceptions, relatively little progress has been made.
Read this insight to find out:
• why the time to act on risk and finance integration is now
• what value integrated risk and finance operations can deliver
• what shape a new integrated capability might take
• how to prepare the ground for effective transition
• key dangers to address to achieve successful transformation.
Download the insight now
The traditional IT organisation is struggling to meet the insatiable demand for new digital capabilities from business stakeholders. It’s time for a new IT operating model – ¬but what will it look like?
Read this insight to find out:
• what three new roles the future IT operating model must encompass
• what new skills and positions will be required in the IT function
• which integration needs the future IT function must address
• what the priorities should be in terms of orchestrating the IT ecosystem.
Read this insight now
We have a world of technology at our fingertips, but is it actually leading to stronger, more agile organisations? How do these new tools serve as the catalysts for more productivity and greater executions of companies’ larger marketplace ambitions? In the brief "4 Trends Redefining Performance Management,” we cover:
1. Embracing the digital transformation
2. Rethinking performance management
3. Rising employee engagement
4. Business insights
Download the brief to learn how you can expand HR's role in boosting company success.
Published By: Teradata
Published Date: Jul 30, 2013
This paper examines the obstacles that make interactive customer management a challenge for many insurance carriers. It describes how they can create a more customer-centric business by using a sophisticated analytics platform to uncover valuable insights into their business and provides concrete examples of specific areas where insurers gain value. The adoption of a customer-centric approach need not be accomplished all at once. Rather, it can be managed and self-funded by following a roadmap that delivers incremental capabilities and revenue.
An analytics revolution is upon us. Knowledge workers are in short supply, the competition for talent has gone global; turnover is rising; and employee engagement is stagnant at best. How can companies attract, retain, and develop employees who can drive business results and have the data to back up these decisions? A recent survey found more than 80% of respondents said that they needed talent-related insights to make business decisions. Yet most enterprises still base talent decisions on gut feeling. Few can offer analytic evidence to support their hunches. Now, finally, analytics are beginning to drive decisions about people.
Published By: MarkLogic
Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to:
- Make the world more secure
- Provide access to valuable information
- Create new revenue streams
- Gain insights to increase market share
- Reduce b
Today, businesses pour Big Data into data lakes to help them answer the big questions:
Which product to take to market?
How to reduce fraud?
How to retain more customers?
People need to get these answers faster than ever before to reduce “time to answer” from months to minutes. The data is coming in fast and the answers must come just as fast.
The answer is self-service data preparation and analytics tools, but with that comes an expectation that the right data is going to be there. Only by using a data catalog can you find the right data quickly to get the expected insight and business value. Download this white paper to learn more!
Business users want the power of analytics—but analytics can only be as good as the data. To perform data discovery and exploration, use analytics to define desired business outcomes, and derive insights to help attain those outcomes, users need good, relevant data. Executives, managers, and other professionals are reaching for self-service technologies so they can be less reliant on IT and move into advanced analytics formerly limited to data scientists and statisticians. However, the biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation.
Published By: ServiceNow
Published Date: Jan 17, 2017
A self-service experience helps IT and business users do more, and do it better, at a lower cost
This eBook, “Consumerize the User Experience,” distills insights from the ServiceNow user community that can help you rapidly deploy an improved self-service experience while maximizing your short, medium, and long-term benefits.
Learn best practices to:
• Create a self-service portal where users can report issues, make requests, ask questions, and check request status
• Define the service catalog to accurately reflect details of supported services, such as: scope, cost, service level agreements (SLAs), dependencies, and more
• Automate knowledge sharing for better service and less hunting for information
Retail is a data-intensive industry. Knowing the customer better than competition and having the ability to orchestrate business decisions is the new retail competitive battlefield. Read the white paper to learn customer insights on the future of retail analytics.
As your business transitions to a digital enterprise, you can start to give your employees, partners, and customers immediate, data-driven, and even predictive insight into what’s going on – in a way that’s relevant for them. Strategic use of on premise and cloud-based analytics accelerates this process. Read the solution brief to see how SAP is continuing to invest in on premise solutions as part of their effort to reimagine analytics.
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Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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