Published By: Aberdeen
Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
As 5G is becoming a commercial reality in multiple lead markets, the question of how it should be positioned, packaged and priced will be critical in building competitive 5G propositions.
Download the Strategy Analytics report to discover the results from end-user study groups and operator interviews, undertaken to answer a fundamental question: Are Telcos getting 5G right? Learn:
How to build a 5G proposition to drive uptake, demand and profitability
What consumers want from 5G services
Where the opportunities and challenges are for operators, including content, unlimited data, enterprise offerings, network slicing, digital engagement, IoT etc.
Getting complex decisions right across complicated operational networks is the key to optimum performance. Find out how one of the UK’s biggest bus operators is using data and analytics to make better decisions and optimise the use of resources across their network.
Read this story to discover:
• how data and analytics can transform operational performance
• the benefits of using decision-support tools in the middle office
• key lessons for getting your plans for digital transformation right.
From intelligent automation to advanced analytics, disruptive technology will enable the finance function to provide all of its services more effectively and efficiently. Find out how technology will change the way finance delivers transactional services, expert services and business partnering,
Read this report to discover:
• how automation in finance can deliver expert services more reliably and with smaller workforces
• how to design an agile workforce of humans and technologies
• how the finance function will shift to be part of a cross-functional analytics model that provides key insights to the business
It’s no secret that data-driven marketing (DDM) is top of mind for brand and agency executives. But what is surprising—shocking, in fact—is how vital first- and third-party information is for creative and execution strategies today. Case in point: 70% of senior marketing executives from brands, agencies and related industry segments say data-driven marketing is a core element of a majority of their campaigns, according to a new Oracle-Forbes Insights survey.
This full immersion in data and analytics—more than what many industry insiders may have realized—shows how quickly brands and agencies have recognized the potential benefits and rushed to replace outdated “gutfeel” decision making with quantifiable research. This was another recurring theme in the Oracle-Forbes Insights study, which found that marketing executives rely on advanced analytics to increase sales, attract new customers and expand brand awareness. In addition, 71% of respondents feel they effectively use it to identify
Data is the lifeblood of business success, but has been trapped in silos for too long. To unleash its value, analytics must transform from merely reporting on data to providing fuel for data-driven marketing.
This series of guides is for the marketer who is always on and needs to know what is trending in modern marketing. It will get you up to speed on pivotal topics in less time (and less effort)
so you can get back to work.
A perfect storm of legislation, market dynamics, and increasingly sophisticated fraud strategies requires you to be proactive in detecting fraud quicker and more effectively.
TIBCO’s Fraud Management Platform allows you to meet ever-increasing requirements faster than traditional in-house development, easier than off-the-shelf systems, and with more control because you’re in charge of priorities, not a vendor. All this is achieved using a single engine that can combine traditional rules with newer predictive analytics models.
In this webinar you will learn:
Why a fraud management platform is necessary
How to gain an understanding of the components of a fraud management platform
The benefits of implementing a fraud management platform
How the TIBCO platform has helped other companies
Unable to attend live? We got you. Register anyway and receive the recording after the event.
What if you could use just one platform to detect all types of major financial crimes?
One platform to handle the analytical tasks of fraud detection, including:
Data processing and aggregation
Statistical/mathematical/machine learning modeling
One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud.
Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
AA Ireland specializes in home, motor, and travel insurance and provides emergency rescue for people in their homes and on the road, attending to over 140,000 car break downs every year, 80% of which are fixed on-the-spot.
“In each of the last five years, the industry lost a quarter billion in motor insurance," says Colm Carey, chief analytics officer. "So, there's a huge push for new data, models, ways to segment and pick profitable customer types—and get a lot more sophisticated. Our goal is to optimize pricing, understand the types of customers we're bringing, and the types we're trying to attract. We would like to tie that across the business. Marketing will run a campaign, trying to attract a lot of customers, but maybe they're not the right type. "We wanted to step away from industry standard software and go with something that was powerful and future-proof. In 2016, we had an opportunity to analyze all software.
We chose the TIBCO® System of Insight with TIBCO BusinessWorks™ i
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products.
Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs.
What You Will Learn:
Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes
How multi-variate statistical process control can help to detect deviations from a baseline
How to monitor in real time the OEE and produce a 360 view of your factory
The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models.
Global producer of polycrystalline silicon for semiconductors, Hemlock Semiconductor needed to accelerate process optimization and eliminate cost. With TIBCO® Connected Intelligence, Hemlock achieved centralized, self-service, governed analysis; revenue gains; cost savings; and more.
Fueled by double-digit growth in the markets it serves, Hemlock Semiconductor is adapting to the increasing commoditization within the polysilicon industry and better positioning itself to compete. A key factor in this plan is to equip process-knowledgeable personnel with the skills and tools to accelerate delivery of process optimizations and associated cost elimination.
Hemlock turned to a TIBCO® Connected Intelligence solution to address the challenges. By implementing TIBCO Spotfire® and TIBCO® Streaming analytics, TIBCO® Data Science, and TIBCO® Data Virtualization, the company created more self-service analytics. Adding TIBCO BusinessWorks™ integration let the company realize the vision of connect
IBM has been named a Leader in Gartner's Magic Quadrant for Data & Analytics Services.
According to the report, by 2022, 90% of corporate strategies are expected to view information as a critical enterprise asset, and analytics as an essential competency. Data and analytics service providers can help leaders accelerate and transform their ability to deliver data-driven insights and innovation solutions to businesses. Get complimentary access to Gartner's latest Magic Quadrant report for Data & Analytics Service Providers.
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
Digital disruption, economic instability, political upheavals and skills shortages have all at some point in the past 24 months been blamed for business failure, or at the very least, lost profitability and earnings.
It’s perhaps not a huge surprise that a Gartner CEO survey on business priorities revealed that digital business is a top priority for next year. Survey respondents were asked whether they have a management initiative or transformation program to make their business more digital. The majority (62 percent) said they did. Of those organisations, 54 percent said that their digital business objective is transformational while 46 percent said the objective of the initiative is optimisation.*
So, for businesses it’s a case of learning to evolve and be agile, to use technology to help compete more efficiently and not fall victim to inertia. As businesses become increasingly dependent on the insights from data analytics and face-up to competition fuelled by the 24/7 society of in
I Big Data e gli analytics workloads sono la nuova frontiera per le aziende. I dati vengono raccolti da fonti che non esistevano 10 anni fa. Tutti i dati dei telefoni cellulari, i dati generati dalle macchine e i dati relativi all’interazione con i siti vengono raccolti e analizzati. Inoltre, con i budget IT sempre più sotto pressione, l’impatto ambientale dei Big Data non fa che aumentare e pone grandi sfi de per i sistemi storage.
Questo documento fornisce informazioni sulle problematiche che le applicazioni dei Big Data pongono sullo storage e su come scegliere le più corrette infrastrutture per ottimizzare e consolidare le applicazioni dei Big Data e degli analytics, senza prosciugare le fi nanze.
Data and analytics are the key accelerants of digitalization, transformation and “ContinuousNext” efforts. As a result, data and analytics leaders will be counted upon to affect corporate strategy and value, change management, business ethics, and execution performance.
Organizations are embracing cloud-based solutions at an unprecedented rate. The transition to a
cloud-first strategy is no longer viewed as a luxury but as a necessity for businesses to compete.
According to a 2018 study, cloud computing will have the biggest impact on analytics initiatives,
followed by big data, AI and machine learning, and IoT. Because today’s state-of-the-art solutions will
likely be quickly outdated, organizations now want to invest in systems that can meet their changing
needs. Attributes like flexibility and agility will allow these businesses to seamlessly tackle changing
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact
For the second year, MicroStrategy has surveyed
business intelligence and analytics decision
makers from around the world about the current
state of their organization’s analytics initiatives
and their plans for the future. Respondents were
asked about benefits realized, challenges to
success, priorities, and investments—and most
importantly, if current initiatives to create and
deliver on a data-driven culture and business
were moving forward.
As in the previous year’s survey, respondents
had no doubt about the importance of data and
analytics when it came to digital transformation
(see figure 1). Yet, this year’s analysis uncovered
that, as the reality of 2020 and a new decade of
accelerated innovation set in, a smaller set of
leaders were confident in their progress to date.
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success.
These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics and generate information on just about anything.
But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. So the challenge is to make analytics impactful in eve
Today, despite massive investments in data, IT infrastructure, and analytics software, the adoption of analytics continues to lag behind. In fact, according to Gartner, most organizations fail to hit the 30% mark—meaning more than 70% of people at most
organizations are going without access to the critical information needed to perform to the best of their abilities.
What’s stopping organizations from breaking through the 30% barrier and driving the pervasive adoption of intelligence? Simple. The majority of existing tools only cater to users who are analytically inclined—the analysts, data scientists, and architects of the world. The other 70%—the people making the operational decisions daily within a business—simply lack the time, skill, or desire to seek out data and intelligence on their own.
HyperIntelligenceTM helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether it’s a salesperson looking to close a
The adoption of cloud BI and analytics is reaching a tipping point. According to the new report from Dresner Advisory Services, there are now more cloud-based deployment options than on-prem offerings available. To learn more about the rising tide of cloud BI, and how sentiment is changing around these offerings, read this new research report based on a 2019 market study.
The report covers:
A summary of the current cloud BI and analytics landscape
An overview of changing user sentiment in the market
How organizations are planning to deploy public, private, or hybrid cloud models
Read the report for a full list of enterprise challenges and tips on how to address them.
Gartner’s annual Predicts report is out for 2019—and it includes recommended solutions to issues like incorporating analytics into corporate strategy, measuring the value of data assets, the rapidly increasing volume of data, the lack of data literacy, and more. Some of the valuable findings include:
Today, fewer than 50% of documented corporate strategies mention data and analytics as key components for delivering enterprise value, per Gartner’s “How Infosavvy Are You? Study."
Organizations that fail to develop and enforce such codes of conduct are at a greater risk of liability and misuse of data science and AI.
Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills.
Research shows that organizations that can increase BI adoption will come out ahead in their industry, but most enterprises report that adoption remains at around 30%. How can they overcome challenges like data silos, education gaps, and more? With pervasive experiences, scalability, and an open architecture—and MicroStrategy can deliver it all in our newest platform.
MicroStrategy 2019 is the industry's first modern analytics platform, featuring:
Federated Analytics—guaranteeing a single version of the truth, no matter what BI tools you use
Transformational Mobility—bringing analytics to every device and every constituent
HyperIntelligence™—the breakthrough technology that delivers insights with zero clicks
Read the MicroStrategy 2019 white paper to learn more!