data analyst

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Published By: Datawatch     Published Date: Dec 16, 2015
In this paper, the Top 10 Ways to Supercharge Analyst Productivity with Data Preparation, learn how a self-service data preparation solution saves analysts’ time by allowing them to manipulate, filter, enrich, blend and combine disparate data sets in a matter of minutes.
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data preparation, data wrangling, analyst productivity, data analysis, cleaning data, data blending
    
Datawatch
Published By: IBM     Published Date: Jan 09, 2015
IBM sponsored the and Ponemon Institute examined the actual costs of data breaches at 61 US companies and drew on the results of more than 500 interviews to reveal the true costs of data breaches today, from detection and escalation to customer churn. Read the analyst research to find out the average number of breached records per company, the real reasons most data breaches occur, the capital outlays that a breach requires, and the rate at which customers abandon companies after a breach occurs.
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data breaches, data breach detection, business continuity management, malware
    
IBM
Published By: INT_AstuteIT_ABM_DoubleTouch_BENELUX     Published Date: Feb 23, 2018
Traditional organizations across the globe are transforming to compete against digital-only players, in restructuring to put the customer first. The world’s buying behavior - and people’s behavior in relation to technology - is quickly changing in connection with online distribution channels, smart devices, and their interplay with offline touchpoints. Siloed business systems and their old reporting lines need to shift, and synchronize - fast.
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programme, manager, data, analyst, technical
    
INT_AstuteIT_ABM_DoubleTouch_BENELUX
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
Published By: Teradata     Published Date: May 02, 2017
A Great Use of the Cloud: Recent trends in information management see companies shifting their focus to, or entertaining a notion for the first time of a cloud-based solution. In the past, the only clear choice for most organizations has been on-premises data—oftentimes using an appliance-based platform. However, the costs of scale are gnawing away at the notion that this remains the best approach for all or some of a company’s analytical needs. This paper, written by McKnight Consulting analysts William McKnight and Jake Dolezal, describes two organizations with mature enterprise data warehouse capabilities, that have pivoted components of their architecture to accommodate the cloud.
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data projects, data volume, business data, cloud security, data storage, data management, cloud privacy, encryption, security integration
    
Teradata
Published By: Pillar Data Systems     Published Date: Apr 20, 2010
In this brief 23-minute on-demand Webinar, opinion leaders from Pillar Data Systems and industry experts from featured analyst firm, Gartner, Inc., break down the challenges that today's organizations face and help them to select a flexible storage platform that will adapt to changing business and application requirements while minimizing risks and reducing management complexity.
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pillar data systems, modern storage infrastructure, it infrastructure, productivity, tco, green it, data
    
Pillar Data Systems
Published By: Cognizant     Published Date: Oct 23, 2018
The implications of AI’s unique approach are profound: AI can learn by example rather than through brute-force programming; can understand human intention and emotions and act accordingly; and can handle extraordinarily complex relationships of data that are beyond the capability of human analysts working alone. AI can multiply what we currently do and take us to experiences we’ve never had before, at a speed and scale that will change entire industries. In these case studies, we’re pleased to present a range of real-world examples to guide your imagination. Here, you’ll find situations where companies like yours found AI to be part of the solution. These examples show how AI can enhance an existing application, workflow or process and reduce friction. This e-book presents how 10 organizations are using artificial intelligence to accelerate decision making, improve business processes, enhance user engagement, reduce costs and drive remarkable growth and profitability.
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cognizant, artificial intelligence
    
Cognizant
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
Read this whitepaper and see why the shift toward self-service data analytics is empowering leading analysts and analytic teams to improve processes, eliminate repetitive tasks, build better relationships with IT, and deliver deeper insights faster.
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Alteryx, Inc.
Published By: Looker EMEA     Published Date: Sep 27, 2017
What is your Analytics Maturity? An 'Army of Analysts' can be very powerful. The problem, of course, is that as your organisation scales, and more data requests come in, you’ll constantly be hiring more analysts (and that gets expensive!). Download this infographic to discover what your analytics maturity is, and how to move from an 'Army of Analysts' to a more efficient, scalable model.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Looker EMEA
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments. By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models. View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
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Dun & Bradstreet
Published By: SAP     Published Date: May 18, 2014
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: Xiotech     Published Date: Apr 13, 2007
Organizations face a double whammy when it comes to data archive management. On one hand, the volume of digital and paper archives is growing exponentially. Industry analysts report that digital hard disk storage has grown 85 percent a year over the last eight years and 2.7 billion new sheets of paper are filed into folders every day.
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data archive, data management, storage, data warehousing, archive management, document search, search and retrieval, document management, document archive, xiotech
    
Xiotech
Published By: IBM     Published Date: Oct 13, 2017
This BARC document is the third edition of our BARC Score business intelligence vendor evaluation and ranking. This BARC Score evaluates enterprise BI and analytics platforms that are able to fulfill a broad set of BI requirements within the enterprise. Based on countless data points from The BI Survey and many analyst interactions, vendors are rated on a variety of criteria, from product capabilities and architecture to sales and marketing strategy, financial performance and customer feedback.
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barc. business intelligence, analytics, customer feedback
    
IBM
Published By: Insight Software     Published Date: Oct 03, 2017
It’s critical that Finance teams have accurate, relevant, and timely data to understand current run rates and to steer your company toward growth. “The Finance Boss Guide to Oracle E-Business Suite to Drive Exponential Financial Gains” will help you translate numbers into fiscal performance through better reporting, analytics and planning, such as: How to create your own usable, sharable reports and web-based dashboards tracking financial performance and progress against company-wide KPIs Avoiding over-investing in dated ERP tools Industry analyst’s take on how to get better reporting and planning best practices and tools How Finance leaders at Bibby Distribution used the ability to drill down into reports to get exactly the detail they needed to address immediate business issues
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Insight Software
Published By: Flexera     Published Date: May 06, 2019
Using new technology to set your business apart can make the difference between getting ahead or falling behind. But staying in control of the growing complexity is a challenge. Enterprise Architecture (EA), IT Service Management (ITSM) and Security teams need enriched technology asset data and accurate analytics so they can keep the enterprise running like a well-oiled machine. Join us to hear R “Ray” Wang, Principal Analyst and Founder of Constellation Research, and Alan Lopez, Senior Director of Global Product Marketing from Flexera, discuss use cases where asset data and analytics are becoming business-critical. Watch the webinar.
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Flexera
Published By: Insight Software     Published Date: Oct 03, 2017
It’s critical that Finance teams have accurate, relevant, and timely data to understand current run rates and to steer your company toward growth. “The Finance Boss Guide to JD Edwards to Drive Exponential Financial Gains” will help you translate numbers into fiscal performance through better reporting, analytics and planning, such as: How to create your own usable, sharable reports and web-based dashboards tracking financial performance and progress against company-wide KPIs Avoiding over-investing in dated ERP tools Industry analyst’s take on how to get better reporting and planning best practices and tools How Finance leaders at Bibby Distribution used the ability to drill down into reports to get exactly the detail they needed to address immediate business issues
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Insight Software
Published By: Insight Software     Published Date: Oct 03, 2017
Forget making business decisions with outdated data. Keep operations on track with real-time insights from every facet of your business including finance to supply chain management. “The Operations Guru’s Guide to JD Edwards” will help you master more efficient company operations so you can focus on making a massive operational impact. Tactical insights, covering: How your team can create usable, sharable reports and web-based dashboards tracking progress against company-wide KPIs from multiple systems, without leaning heavily on IT An industry analyst’s view on how to get better reporting and analytics from ERP and other critical data sources How Bibby Distribution gave users throughout the company the ability to drill down into reports to get exactly the detail they needed to address immediate business issues
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Insight Software
Published By: Insight Software     Published Date: Oct 03, 2017
Forget making business decisions with outdated data. Keep operations on track with real-time insights from every facet of your business including finance to supply chain management. “The Operations Guru’s Guide to Oracle EBS” will help you master more efficient company operations so you can focus on making a massive operational impact. Tactical insights, covering: How your team can create usable, sharable reports and web-based dashboards tracking progress against company-wide KPIs from multiple systems, without leaning heavily on IT An industry analyst’s take on how to get better reporting and analytics from ERP and other critical data sources How Finance and IT leaders at Ladbrokes replaced Oracle reports and quit having to manipulate data in static spreadsheets
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Insight Software
Published By: TIBCO     Published Date: May 15, 2013
According to Forrester, most organizations today are only using 12% of their available data and only 37% of organizations are planning some type of big data technology project. At a time when companies are seeing volume of information increase quickly, it’s time to take a step back and look at the impact of big data. Join Mike Gualtieri, Principal Analyst at Forrester, for this webcast exploring the importance of integration in your big data initiatives. Discover how your ability to operate, make decisions, reduce risks and serve customers is inextricably linked to how well you’re able to handle your big data. Continue on to gain insight into: •3 key big data management activities you need to consider •Technologies you need to create for your big data ecosystem •A multi-dimensional view of the customer is the holy grail of individualization •Overcoming key integration challenges And more!
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big data, integration, architecture, database, data warehousing, operations management
    
TIBCO
Published By: Adobe     Published Date: Mar 03, 2017
Programmatic advertising is full of complex patterns. Very similar to patterns in nature. Our guide, Brilliant Advertising, shows how fractals in nature perfectly describe the complexity of programmatic ads and pave the way for how you should approach creative assets. Read the guide to learn five ways to overcome challenges to programmatic ads, including how to: • Bring marketers, creatives, IT, and data analysts together to ensure success • Save money and time while improving engagement and conversion • Customize multiple versions of one campaign and serve ads with strong creative in real time
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adobe media optimizer, programmatic advertising, engagement and conversion, internet marketing
    
Adobe
Published By: Adobe     Published Date: May 16, 2017
Programmatic advertising is full of complex patterns. Very similar to patterns in nature. Our guide, Brilliant Advertising, shows how fractals in nature perfectly describe the complexity of programmatic ads and pave the way for how you should approach creative assets. Read the guide to learn five ways to overcome challenges to programmatic ads, including how to: • Bring marketers, creatives, IT, and data analysts together to ensure success • Save money and time while improving engagement and conversion • Customize multiple versions of one campaign and serve ads with strong creative in real time
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Adobe
Published By: Adobe     Published Date: Sep 12, 2017
"Read the guide to learn five ways to overcome challenges to programmatic ads, including how to: · Bring marketers, creatives, IT, and data analysts together to ensure success · Save money and time while improving engagement and conversion · Customize multiple versions of one campaign and serve ads with strong creative in real time"
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Adobe
Published By: CA WA 2     Published Date: Oct 01, 2008
Given the increased complexities and requirements thrust onto data center management environments over time, a more holistic management approach is necessary for efficient and cost effective delivery of IT services. Authors and analysts Judith Hurwitz and Robin Bloor bring their research and extensive experience to light in respect to the state of data center management by building the case for automation as a key strategy for efficient and cost effective management.
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datacenter automation, data center automation, network management, ca wa, ca wa 2
    
CA WA 2
Published By: SAS     Published Date: Sep 30, 2014
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didn’t sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed. What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS’ Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
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sas, organizational insights, operationalizing analytics, sas’ information evolution model
    
SAS
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