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What you Need to know about Smart Data
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Smart Data is digital information that is created by turning big data into actionable information with the aim of running organisational processes effectively. The transformation process facilitates process optimisation, technical application procedures, and self-driven marketing. It entails prompt data interpretation and analysis to enable analysts to make business decisions when the system puts the information into the most appropriate context. 


Why Use Smart Data? 

Previously, batch processing was used to do analytics. It involved collecting information according to...

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Measures against failing big data projects
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Recent studies show that most organisations that undertake big data projects do not get any positive results. Organisations are therefore focusing on the measures discussed below to ensure that their big data projects are a success. 


Identifying the Organisation Goals 

Most businesses make use of big data for the sake of it without any clear objectives set down. Putting down a firm’s target for undertaking a big data project at the beginning goes a long way in ensuring the project has a straightforward direction and a goal that the firm can work for. 



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Is Data Governance Something Your Business Needs? 
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Data Governance is another term for data management and optimisation. It is not just about the safe and private storage of information but is also about the efficient use of data without compromising security or data integrity. The fact is that you already partake of some form of data governance, so the question is, should you invest resources in improving your current data governance framework?


Do Not Get Bogged Down With Details

An expensive consultancy will bog you down with unneeded details. You do not need to know how an internal combustion engine works to successfully use vans...

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Big Data calls the shots on the sports field
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Big Data can be defined as " When very large sets of data containing interactions and behaviour of humans are analysed by a computer software program with the purpose to identify any trend or pattern in the interactions and behaviour". It was inevitable that sports teams would turn to Big Data systems as an aid to improve their performance when playing against each other. With the competition to be the best intensifying and the need for data about players and their performance greater than ever before, it wasn't long before software developers came up with programs to analyse...

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Risks Posed By Dark Data
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Structured and well-indexed data can be easy to manage. However, sensitive or confidential unstructured data and information presents real challenges to data officers. Dark data can be described as data that is kept just in case but doesn't have any proper usage at the moment. It acquired its name from its similarity to dark matter which is the mysterious non-luminous material that is believed to exist in space.

Just like dark matter, the dark data is mostly left unclassified and unnoticed but keeps on multiplying. It is common for businesses to hold onto the large chunk of data that...

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How to Successfully Implement Predictive Analytics in a Business
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Most businesses and organisations today use predictive analytics to predetermine the future success in their respective industries. By using analysed data of past trends, it is possible to make future decisions that are geared to improving the success of an organisation. That is what is referred to as predictive analytics. 

In a business, predictive analytics is used mainly to study the behaviour of customers, like what they purchase the most and at what time of the year, do they like deliveries or not. Once you analyse the behaviour of your customers, you will be able to give...

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Improvement of Productivity through Digitization 2018
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Recently, Horvath & Partners have conducted a study which shows the remarkable progress made by companies that have decided to embrace digitalization. According to the study, incorporating new technology into the day-to-day firm’s activities has facilitated higher productivity, high-quality service delivery, and cost reduction.



Many firms including German-speaking nations believe that incorporating robotics initiates productivity and makes the companies more profitable. Robotics or RPA entail the use of programmed software robots to execute selected processes....

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Things That CEOs Must Do To Harness the Potential of Big Data
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Gathering big data and analytics is rapidly becoming a new edge of competitive differentiation. While companies such as Google, Amazon.com, and Netflix take the limelight in this space, many companies are silently making great progress. Pharmaceutical, retailing, insurance and telecommunications companies have recently started advancing big data strategies. The activities of these companies exemplify fresh strategic tactics to big data and show the challenges CEOs face as they work to break the organisational inertia that prevents big data creativities from advancing. Here are some...

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Why companies are struggling to implement GDPR
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The General Data Protection Regulation (GDPR) will become effective as of 25 May 2018 all over Europe. These are a set of rules that were adapted by the European Union to regulate how businesses use and protect consumer data. These rules are very demanding and tech companies are already struggling with compliance. Here are some of the areas tech companies are finding it difficult to implement:


1. Data breach notification 

This is one of the areas tech companies are finding it hard to comply with. The regulations require organisations to report data breaches within 72 hours. Most...

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The Beauty that is Cognitive Computing and Why You Need It
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Cognitive computing is one term that is controversial where others classify it as a subset of Artificial Intelligence dealing with human-like behaviors, while others associate it with motor control and perception, but what does it really mean? 

What is Cognitive Computing? 

Simply defined, cognitive computing is focused on self-learning processes that simulate human-like thoughts in a computerized model. It refers to a computing model based on understanding and reasoning of machines in a way that is comparable to the human cognitive behavior but at higher levels. ...

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