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All Blog Posts Tagged 'Analytics' (114)

What is an Analytics Translator and Why is the Role Important to Your Organization?

Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiatives evolve, new roles emerge in the organization. The newest of these analysis-related roles is the 'analytics translator'. As the enterprise considers the relevance of this new role within the business, it is important to understand the responsibilities of an Analytics…

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Added by Kartik Patel on February 23, 2018 at 2:30am — No Comments

What Kind of OLAP Do We Really Need?

The narrow-sensed OLAP

OLAP is part and parcel of a BI application. As the name suggests, the word is an acronym for online analytical processing. Users, frontline employees, to be precise, are responsible for performing various types of data processing online.  

But, the concept of OLAP tends to be used in a very narrow sense. It has almost become an equivalence of multidimensional analysis. Based on a prebuilt data cubic, the analysis performs summarization…

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Added by JIANG Buxing on February 1, 2018 at 4:00am — No Comments

What is Clickless Analysis? Can it Simplify Adoption of Augmented Analytics? (Part 1 of 3 articles)

The concept of Clickless Analytics is one that will be happily embraced by business users and by the business enterprise. The reason is simple! Clickless Analytics allows users to find and analyze information without specialized skills, by using natural language.

In this, the first of a three-part series we discuss Clickless Analytics and how it can simplify user adoption of augmented analytics.

What is Clickless Analytics?

Clickless Analytics…

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Added by Kartik Patel on January 25, 2018 at 5:30am — No Comments

7 Traps to Avoid Being Fooled by Statistical Randomness

Randomness is all around us. Its existence sends fear into the hearts of predictive analytics specialists everywhere -- if a process is truly random, then it is not predictable, in the analytic sense of that term.  Randomness refers to the absence of patterns, order, coherence, and predictability in a system. 

Unfortunately, we…

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Added by Kirk Borne on January 9, 2017 at 6:00pm — 5 Comments

You Need Data Scientists for Predictive Analysis– Myth#6

Debunking Common Business Intelligence Myths

Myth #6: You Need Data Scientists to Employ Predictive Analysis in Your Organization

Every enterprise, large or small, must have access to sophisticated, easy-to-use business intelligence tools in order to compete in local, regional and global markets. When organizations undertake the process…

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Added by Kartik Patel on August 12, 2016 at 2:00am — No Comments

Analytics in Telecom

Telecommunications is complex business. As users we are mostly faced with one question- how to get the best deal out of the many telecom players in the market? But as an analyst in a Telecom company one may be faced with any one or more of the following question -

  • How many Network Towers should be installed in a particular area to meet the rising demand given the rise in population, rising need of data connectivity and competition?
  • What should be the optimum call rate…
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Added by Ivy Pro School on July 15, 2016 at 3:00am — No Comments

Hadoop Security Issues and Best Practices

The big data blast has given rise to a host of information technology software and tools…

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Added by marry tho on June 17, 2016 at 6:00am — No Comments

Text Analytics: Greater Usability Less Time to Insight

Transparency Market Research has released a new market report titled Text Analytics Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2016 - 2024. According to this report, the global text analytics market revenue stood at US$2.82 bn in 2015 and is expected to reach US$12.16 bn by 2024, at a CAGR of 17.6% from 2016 to 2024. 

Text analytics is a method of…

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Added by Mona D on May 20, 2016 at 4:00am — No Comments

Security analytics will be the next big thing in IT security

Security analytics tools refer to a variety of security event data collection, filtering, integrating, and linking tools that provide a detailed overview of the security of an organization’s digital infrastructure. Principles of security analytics are applicable to any organization that has a large number of devices connected to the internal network, such as mobile devices, desktop computers, data servers, and routers.

Several factors have led to the increased…

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Added by Mona D on May 10, 2016 at 12:30am — No Comments

How Customer Analytics and Insights Enrich Customer Journey Design: Primary Research

Why do organizations seek to design effective multi-channel customer journeys? Customers demand it.…

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Added by Leslie Ament on May 4, 2016 at 2:30pm — No Comments

Marketing Analytics – The Most Important and Least Thought about Variable: The Dependent

All the hard work we put into the “model” on the right hand side of the equation, is only as accurate as the dependent variable was to start with in reflecting the business problem at hand.  Yet…. modeling efforts typically focus almost exclusively on the prediction of the objective variable, while often accepting the dependent “AS IS” with all that that…

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Added by David G. Young on May 1, 2016 at 8:21pm — No Comments

Machine Learning with Python- Why do they form the best combination

Machine Learning is being hailed as “Next Generation Analytics”.Machine Learning tasks can be roughly classified as –

  • Getting the data
  • Cleaning the data…
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Added by Ivy Pro School on April 11, 2016 at 5:57am — No Comments

Visualization CAN Replace Need for Ad-Hoc Analysis– Myth#3

Debunking Common Business Intelligence Myths

Myth # 3: Business Users Do Not Need Ad-Hoc Data Analysis

If your business is confused about the tools in the business intelligence market, you are not alone. There are lot of options in the market today, which is great for the enterprise and its users, but the confusion…

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Added by Kartik Patel on March 16, 2016 at 5:00am — No Comments

Human centered analytics

Engineers, computer scientists and technicians alike have affinity with mathematics, numbers, formulas. They are the kind of people who prefer to know How it works than What it delivers. They are the ones who disassemble an old watch and try to fix it.

5920883-disassembled-wrist-watch-lies-on-table-Stock-Photo.jpg We try to understand why it works. Normal people just wear it.
One of my common mistakes in my first years in the corporate world was that I faced it like it was a college…
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Added by Arnaldo Gunzi on February 29, 2016 at 6:00pm — No Comments

The New Black: Top Customer Experience Predictions for 2016

As you look ahead to 2016, it’s a good time to ponder: what’s the “new black” for improving customer experience? The Beyond the Arc team decided to play the role of #stylespotter and share some of our predictions.

Leaders will retool their culture to become more customer-focused

There’s an old saying that culture eats strategy for lunch. To us,…

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Added by Steven Ramirez on December 30, 2015 at 3:30pm — No Comments

What are Uplift Models?

Uplift modeling, also known as incremental modeling, true lift modeling, or net-lift modeling is a predictive modeling technique that directly models the incremental impact of a treatment (such as a direct marketing action) on an individual’s behavior. Uplift modeling has…

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Added by Jeffrey Strickland on September 4, 2015 at 9:00am — 1 Comment

Utilization of Big Data from Web Analytics to Improve Web Design Decision-making

All businesses that own/control websites, blogs and web and/or mobile applications know the importance of having web analytics tracking code. Nonetheless, the implementation of said systems is more complex than most imagine it to be, leading to major and minor flaws in the instrumentation of the sites and applications as a result.

The explosion of…

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Added by Jack Dowson on August 24, 2015 at 4:30am — 1 Comment

Mobile Banking – Can Analytics help banks innovate?

Bank of America CEO  Brian Moynihan recently disclosed that its mobile customers grew by 2 million, touching 70 Million this year. Wells Fargo and JP Morgan Chase have already reported robust growth in mobile customers in 2014.

This rise in mobile banking users is welcome news for the banking industry. This growth is not limited to the US alone. Britain also, in the recent past, has seen an uptick in mobile banking users and the number is expected to reach 32.6 million by 2020 as per…

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Added by Naagesh Padmanaban on April 29, 2015 at 8:00am — No Comments

Cloud Based Analytics - Coming Clash of the Titans

From all indications, 2015 is well on its way to becoming the year of cloud computing. The feverish pitch of activities at key players on one hand and the data as well as observations of industry pundits affirm this. There are apparently  a handful of reason to keep the IT industry leaders awake at night.  

For starters, per , 2014 revenues for cloud services grew by…

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Added by Naagesh Padmanaban on April 4, 2015 at 7:30pm — No Comments

Digital Banking – Lessons from channel integration

Digital banking offers unprecedented opportunities both for banks as well as customers. It has provided banks breadth and ease in delivering their products and services to customers. As for customers, it has pushed service options and expectations to a new high. Given the opportunity spectrum, it is no surprise that banks have invested heavily in upgrading their digital preparedness. 2015 promises more investments in digital banking.

A definition of digital banking will be of help…

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Added by Naagesh Padmanaban on February 2, 2015 at 12:00am — No Comments

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