The digital era is changing the way that organizations think about, protect, and monetize data. Now more than ever they are pushing to be digitally-driven, and to achieve this they must be data-driven.
Data powers everything in modern organizations; analytics, digital experiences, IoT, and artificial intelligence are notable examples. All are essential to organizations that want to succeed in a digitally transformed world, but they simply cannot function without data. This is driving the shift from data as a static digital asset to data as a strategic business asset.
The digital era has ushered in a proliferation of data that powers modern businesses. When leveraged properly, organizations are seeing the potential of data to drive better outcomes across all aspects of their business. Using data to support different workflows, analytics, and activities transforms it into data capital — a digital asset that will drive value for the business. The extent to which an enterprise aligns its organization around this data capital mindset — in both the way they use data and the way they invest in data technology — can have lasting impacts on the success of the business.
In February 2019, Dell EMC and Intel commissioned Forrester Consulting to evaluate whether the ability to harness and apply data and analytics at every opportunity is fast becoming a prerequisite for success. To test this, Forrester conducted a global survey of 516 IT decision makers. The survey found that companies with more mature data capital practices — leveraging more data types, managin
The finance team’s data
analytics skills put CFOs in the driving
seat of digital change. Read the
Economist Intelligence Unit report now to learn:
• How finance helps other business units meet their digital ambitions
• Why finance need to make data visible across the business
• Why it’s important to develop m
or digital success
After talking to 27 leading CFOs, the Economist Intelligence Unit finds that the finance team’s data analytics skills put the CFO in the driving seat of digital change.The result is that the CFO has a new responsibility to:
• Help other business units meet their digital ambitions•Make relevant data visible across the business• Develop goals and metrics for digital success
EIU: CFOs now in the Digital Driving Seat
White Paper Published By: Oracle
The finance team’s data analytics skills put CFOs in the driving
seat of digital change. Read the Economist Intelligence Unit report now to learn:
• How finance helps other business units meet their digital ambitions
• Why finance needs to make data visible across the business
• Why it’s important to develop metrics for digital success
Siteimprove transforms the way organizations manage and deliver their digital presence. With the Siteimprove Intelligence Platform, you gain complete visibility and deep insights into what matters, empowering you and your team to outperform the status quo with certainty every day.
In this digital age, maintaining high-quality content—all while measuring website success and delivering a superior user experience—can no longer be accomplished manually.
The Siteimprove Intelligence Platform unlocks new insights into your content and analytics data to let you focus your efforts where they belong.
Published By: IBM APAC
Published Date: Nov 22, 2017
A user initiates the call and selects the source language, such as Spanish. (In this example, assume that the target language is set to English.) As the user is talking to the support representative, the audio is converted to text using the Speech to Text service. Then using Language Translator, the text is translated to English.
English language text is then sent to the Text to Speech service as input. The output audio message is what the support representative hears. All of this happens in near real time. The text from Speech to Text and the Language Translator service also can be stored in a database for analytics. The same process is repeated in reverse for the audio message sent by support personnel.
Published By: IBM APAC
Published Date: Nov 22, 2017
Using IBM Watson’s cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.
Published By: Dell EMC
Published Date: Oct 08, 2015
Download this whitepaper to learn how Dell can help you realize the full value of your big data strategy—and to capitalize on all of your data, from enterprise systems to social media and the Internet of things.
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains:
What data virtualization is and its benefits
When and when not to use data virtualization
How to deploy data virtualization to benefit your business
How to unlock the value of your SAP data
Are you considering data virtualization for your organization today? In this paper you will learn 10 core truths about data virtualization and gain essential knowledge for overcoming analytic data bottlenecks and driving better outcomes.
Over the past decade, businesses have made tremendous investments in information
capture, storage, and analysis. But having a wealth of data isn’t the same as having
valuable information. TIBCO®
Data Virtualization products and services provide a way
to turn your data stores into valuable information that improves decision-making and
propels experimentation and innovation. This paper explains:
•?What data virtualization is and its benefits
•?When and when not to use data virtualization
•?How to deploy data virtualization to benefit your business
Companies are pursuing digital transformation. The goal is to improve customer value, operate with greater efficiency and agility, and increase innovation. But as companies leverage new workflows, security has not kept pace, and cyber criminals are becoming more sophisticated. This white paper describes a security paradigm for today’s hostile environment: zero trust.
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.
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 no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
Enterprises use data virtualization software such as TIBCO® Data Virtualization to reduce data bottlenecks so more insights can be delivered for better business outcomes. For developers, data virtualization allows applications to access and use data without needing to know its technical details, such as how it is formatted or where it is physically located. For developers, data virtualization helps rapidly create reusable data services that access and transform data and deliver data analytics with even heavylifting reads completed quickly, securely, and with high performance. These data services can then be coalesced into a common data layer that can support a wide range of analytic and applications use cases. Data engineers and analytics development teams are big data virtualization users, with Gartner predicting over 50% of these teams adopting the technology by 202
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution.
Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze.
Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform.
Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing:
• Reduced downtime
• Minimized surplus and defects • Deep insights
• End-to-end real-time visibility
Social, Mobile, Analytics and Cloud (SMAC), have broad potential to provide huge business value, while simultaneously presenting potentially overwhelming challenges. The rapid technology changes supporting SMAC and the overall complexity involved demand a systematic approach to building out your SMAC capability.
In July 2013 Acxiom commissioned Forrester Consulting to evaluate how companies use the data they collect from their customers to make better decisions on their marketing campaigns by gauging their experiences and attitudes around their use of and future vision for using customer data across multiple marketing channels. In order to understand this topic, we conducted interviews with 11 executives representing a range of roles and perspectives, including consumer packaged goods companies, financial services organizations, and agencies.
If you are responsible for online advertising, this report is going to change the way you look at your banner ads forever. It did for us. But, step one on the road to this transformation was deciding exactly what to measure. Download this whitepaper to learn about a new measurement approach that proves banner ads boost offline sales.
This report offers recommendations and best practices for implementing analytics in an organization. It provides in-depth analysis of current strategies and future trends for next-generation analytics.
With sophisticated analytics, government leaders can pinpoint
the underlying value in all their data. They can bring it together
in a unified fashion and see connections across agencies to
better serve citizens.
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics.
To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.