Widespread adoption of self-service visualization and analysis tools like Tableau, Qlik and Spotfire, along with the acceleration of big data adoption, are driving increased demand for data preparation.
This new data preparation trend is so pervasive that at Gartner’s BI and Analytics Summits, Gartner provides a dedicated data preparation session entitled “The Next Big Market Disruption: Self-Service Data Preparation.”
Meeting Business and IT Needs
Based on their success with self-service visualization / analysis, many enterprises are allowing business users to support themselves with self-service data preparation tools as well. Cisco’s recently announced Cisco Data Preparation is one example.
But not all self-service data preparation tools are created equal. Users demand self-service data preparation solutions that are easy for them to use and adopt so they can get results quickly and drive business impact. So ease-of-use and agility, along with widespread access to any and all data are key business requirements.
However, with big data analytics so key to organizational success, IT also has a seat at the data preparation decision table. Regardless of the tool selected, IT needs to ensure these critical data preparation activities occur in with appropriate data governance.
What Does Data Governance Really Mean?
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Tags: analytics, Cisco Data Prep, Cisco Data Preparation, data governance, Data Prep, data preparation, data virtualization
Imagine a future where data, processes and people are all digitally connected to provide real-time insights that change the user experience for the better. No need to wait. You can experience that future today. Forward looking businesses today are transforming themselves into digital enterprises. The choice is disrupt or be disrupted. Are you ready to get connected? Learn how with Cisco connected platforms.
Connected processes, connected analytics and connected experiences work in concert to complete an organization’s digital transformation. System and operational improvements provide the analytics and processes needed to drive new customer interactions. To define requirements for user experience, evaluation of input and actions of all participants and their modes of connection are necessary. The goal is to enable people to seamlessly and transparently access and interact with hyper-distributed centers of data, whether via smartphones, tablets, laptops, or specialized devices, so they can make and act on informed decisions. In other words, it’s about delivering the personal and/or professionally-relevant information that an individual needs, when and where they need it, and in the best way for them to understand or apply it.
To learn about developing requirements for connected experiences and see how a large international hotel chain is innovating for better guest interactions, read more in my article Insights to Interactions: Defining New Connected User Experiences.
Tags: analytics, automation, connected analytics, Connected Experiences, connected processes, Digital transformation, user experiences, UX
With robotics and automation, manufacturers have advanced our industry over the last few decades, driving innovations and improvements in productivity and efficiency that were once only the imagination of science fiction writers and TV/movie producers. Today, however, the next wave of transformation is required—in order to take companies and the industry to even grander levels—with a digital revolution in manufacturing.
Pressures on manufacturers from global market upheavals, changing customer expectations, and digital disruption require companies to take every competitive advantage—at every step in the supply chain and beyond. To meet these demands and market transition, manufacturers must have deep organizational and technological progress, what we refer as digital business transformation.
To explore some of the mounting pressures on manufacturers—and the exciting opportunities to capture new value with digitization—Cisco recently undertook and released a comprehensive research study. This research includes Read More »
Tags: 3D printing, analytics, Chet Namboodri, Cisco, Digital Manufacturing, Digitlal Transformation, internet of things, IoT, Manufacturing, OEE
Peter Memon, J.P. Morgan, presents during the general session.
The inaugural Data and Analytics Conference last month was, in my opinion, the best conference of the year. The brightest minds in the industry gathered for two days in Chicago to discuss the latest trends and new solutions for big data, the Internet of Things, cloud, analytics, digital transformation and data virtualization.
With over 20 technical and business tracks we featured nine customer presenters from an array of industries – financial services, agriculture, healthcare, manufacturing and more. View the conference PowerPoint presentations.
UC San Francisco (UCSF) and Cisco announced an initiative to jointly develop an interoperability platform for sharing health care information among multiple entities. The platform will be designed to enable health systems, providers and application vendors to share and integrate health data from multiple sources, making pertinent patient information accessible when and where it’s needed for care through a highly secure process.
Cisco and IBM Watson announced a strategic partnership. Over many years of working together customers value the joint solutions the two companies provide. Dark data, inaccessible or unused data collected, is not being taken advantage of by companies today. This is the catalyst behind the partnership. This long-standing and deep partnership will explore the world of Watson and cognitive computing.
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Tags: #CiscoDAC, analytics, Big Data, cloud, data virtualization, Digital transformation
This summer’s announced development alliance between Apple and Cisco reminded me of a quote from Tim Cook, Apple CEO, that I once read, “Most business models have focused on self-interest instead of user experience.” Needless to say, Apple has built one of the most successful brands in history by focusing on consistently delivering an exceptional user experience, whether interacting with its product family or its various service offerings. Apple has raised the bar for what both consumers and business professionals have come to expect from technology.
In earlier blogs, I discussed the importance of connected processes and connected analytics in the transition toward companies becoming digital businesses. The final piece in digital transformation is connected experiences. Ultimately business outcomes from operational improvements are driven by new interactions and experiences. Both the process and analytics requirements need to be informed by the shoppers, service consumers, business professional, citizens and so on – all participants among who and what is being connected — and how they are connected. User requirements define how people can transparently access hyper-distributed centers of data, whether via smartphones, tablets, laptops, or specialized devices. But it is not just about simply having access to the data. Most importantly, it is about delivering timely insights so that users can make informed decisions. Put simply, it is about delivering personal and/or professionally relevant information that an individual needs, when and where they need it, and in the best way for them to understand or apply it.
Peter Sondergaard, Senior Vice-President and Global Head of Research at Gartner, summed it up this way at the firm’s recent ITxPO event, “In five years, 1 million new devices will come online every hour. These interconnections are creating billions of new relationships. These relationships are not driven solely by data, but algorithms. Data is inherently dumb. It doesn’t actually do anything unless you know how to use it, how to act with it.” I believe it is incumbent upon us to guide customers to discern the value of collected data, extract meaningful information from it, and analyze and use the data to offer new capabilities, richer interactions, and unprecedented opportunities for businesses, individuals, municipalities and more.
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Tags: analytics, automation, connected analytics, connected experience, connected processes, digital business, Digital transformation, hyper-distribution, user experiences