Big Data Is Changing the Way Startups Are Approaching Marketing

Big Data Is Changing the Way Startups Are Approaching Marketing

The More You Know… There’s an old public service announcement that ends with the line, “the more you know…” Each TV spot in the series offers a piece of practical advice and then connects it to this idea: The more you know, the better off you are. This adage has proven to be true, at least as it pertains to …

How businesses can learn from the first wave of AI

How businesses can learn from the first wave of AI

Artificial Intelligence (AI) or cognitive technology is no more about a machine playing chess. AI is on the streets driving our cars. It is in our call centres chatting up customers in dulcet tones. AI is drafting and reviewing legal documents with immaculate precision. It is even doing what we could never dream of: You can trade using indices derived …

Operationalizing security data science for the cloud: Challenges

Operationalizing security data science for the cloud: Challenges, solutions, and trade-offs

In most security data science talks that describe a specific algorithm used to solve a security problem, the audience is always left wondering: how did they perform system testing when there is no labelled attack data; what metrics do they monitor; and what do these systems actually look like in production? Academia and industry both focus largely on security detection, …

Hypothesis driven thinking in data science

Hypothesis driven thinking in data science

“In God we trust! All others bring data,” is a popular quote attributed to William Deming, a physicist and a pioneer in quality management. By applying statistical methods from the natural sciences to manufacturing in the first half of the 20 century, he was able to drastically increase the industry’s efficiency. In a way, Deming was one of the predecessors …

6 Steps to Effective Data Preparation for Quality Conclusions

6 Steps to Effective Data Preparation for Quality Conclusions

Data preparation is usually the most time consuming part of a data analysis project. To get good results, follow the six steps here, starting with Understand the Business Needs, Get to Know the Data, and Wrangle, Munge, and Mash Up. Garbage in, garbage out. In this age of big and unstructured data analytics, good data preparationis a must to avoid …

Continuous Analytics on Graph Data Streams Using WSO2 CEP

Continuous Analytics on Graph Data Streams Using WSO2 CEP

Is iPaaS solving the right problems? Not knowing the fundamental difference between iPaaS and dPaaS could cost you down the road. Brought to you in partnership with Liaison Technologies. ACM Distributed and Event-based Systems (DEBS) Grand Challenge is a yearly competition where the participants develop an event-based solution to solve a real world high-volume streaming problem. This year’s challenge focuses …

Why Use Business Intelligence Software to Transform Data

Why Use Business Intelligence Software to Transform Data

Businesses have overflowing data involving their internal processes, prospects, partners, suppliers, competitors, and customers. It’s often difficult to leverage this huge amount of data and translate them to useful information that can generate profits and revenue. A business intelligence software is the key for an enterprise to operate efficiently. Business intelligence tools enable businesses to transform their data into useful …

Predictive Analytics in Higher Education

Predictive Analytics in Higher Education

Predictive Analytics is certainly a buzzword in the technology and business arena, but what it means to higher education is different than other industries. Higher education is not looking to determine how many widgets it can sell in certain markets, but rather, will a student who enters college persist, and will he complete a degree. Gathering data to predict the …

5 Ways to Avoid Common Pitfalls in Large-Scale Analytics Projects

5 Ways to Avoid Common Pitfalls in Large-Scale Analytics Projects

Data now means more and does more within the enterprise than ever before. From mitigating financial risk by detecting fraud to creating recommendation engines and optimising the customer experience, data is helping companies solve increasingly complex problems. What, then, have we learned over the past few years as data has moved to the forefront of organisations? With options ranging from …

The Primary Principles of Business-Incident Detection for BI -

The Primary Principles of Business-Incident Detection for BI –

The emergence of business intelligence was supposed to finally enable businesses to truly utilize the massive amounts of data running through their systems. When the field initially began, offering visualizations or basic parameter settings to detect business incidents, the overwhelming feeling was optimistic that from these beginnings — however humble — the BI sector could begin to unlock new truths …