This is the second article in a series. The first article is available here.
How to implement a temporal database
Not every database requires a temporal database implementation, but some do. We can help you get started. As discussed in our previous article, the SQL-2011 standard included clauses for the definition of temporal tables as…Continue
Added by Sullexis LLC on November 13, 2014 at 9:03am — No Comments
For a very long time, businesses had their documents filed in folders and stored in huge metal cabinets. But thanks to advances in technology, they were eventually coded and stored digitally. As we advance through the Age of Information, the traditional digital storage devices like the floppy, compact, and flash discs evolved into cloud storage. Eric Griffith, a…Continue
Added by Kyle Albert on October 23, 2014 at 5:51am — No Comments
Data Science is often brought to companies as a potential game changer. An investment that may pay off if the company's data can be leveraged to provide insight and gain a competitive edge. But bringing analytical offerings to organizations as a "maybe solution" to their pain points misses the mark. Data science is today's answer to our most pressing enterprise and socially innovative challenges given the data-driven nature of our markets and society as a whole. If an investment in data…Continue
What is a temporal database?
A temporal database is a database with built-in support for handling data involving time.
This definition is from Wikipedia. It is simple and straightforward. Since we expect every database to have some kind of support for time operations, we could say that all databases are temporal databases based on this definition.
Added by Sullexis LLC on September 9, 2014 at 7:30am — No Comments
A few semesters into my undergraduate studies, I decided to move away from campus in order to escape the incessant party atmosphere. I chose to rent an old but roomy apartment in Kitchener, Ontario. I read somewhere that this city was formerly called New Munich. One day in the dead of morning, I heard loud banging and smashing downstairs. It seemed that neither I nor my cat could sleep, so I went to investigate. I saw the owner of the building at the front entrance of the apartment holding a…Continue
Added by Don Philip Faithful on June 21, 2014 at 6:27am — No Comments
Your custom MDM solution: Don’t make these mistakes (Part 1)
Most MDM implementations will be based on a commercial software product. By relying on a packaged solution, the architectural considerations have been addressed by the software vendor, allowing the project team to focus on the data management considerations. However, there are cases when a custom MDM solution may be needed. When proceeding down the path of custom development for MDM, we have some advice for you:…Continue
Added by Sullexis LLC on January 29, 2014 at 11:15am — No Comments
Recently Mark Ginsburg, a Director and senior data scientist with our firm, wrote a historical perspective on the importance of simplicity and transparency in conducting data analytics. The push for transparency and free/open standards has long been a key component of…Continue
Added by Nicholas Hartman on January 26, 2014 at 8:01pm — No Comments
“The Purple People” - The conundrum of finding business expertise among Data Scientists.
Over the last several months, as I looked at addressing the business needs across various industries as someone leading a team of Data Scientists, the question of domain expertise invariably cropped up.
Attending one meeting with a Pharmaceutical company, I was posed with the question of, "Have you done work in the areas of Rare Signal detection?" In a similar vein, while…
Added by Somjit Amrit on September 10, 2013 at 10:47pm — No Comments
Data is being collected everywhere around us. This data is analyzed and used to impact B2C and B2B markets in traditional and nontraditional sectors in ways we never imagined. Indeed Analytics has proven itself to be an essential tool for any organization, influencing every decision and impacting every stakeholder.
But what exactly does this big Analytics boom mean for India specifically? Well the outlook is extremely bright and here is just why:
We Have The…Continue
Added by Gaurav Vohra on May 21, 2013 at 6:09am — No Comments
Relationships are built on trust and mutual understanding – if a company wants customers to trust them with their data, the company must foster that trust. Data governance and sensitivity about your customers’ data must be enforced internally and communicated externally – to your customers.
Added by Ben Gold on April 22, 2013 at 11:30am — No Comments
Relationships are built on trust and mutual understanding. Building a 360 degree customer data profile facilitates the marketers’ understanding of their customers. This in turn, helps marketers provide their customers the best experience and service, target product offerings, and produce relevant communications. The key to building a 360-degree customer profile is aggregating as much relative data as possible. Centralizing the 360-degree profile in an easily accessible and robust…Continue
Added by Ben Gold on April 17, 2013 at 11:30am — No Comments
McKinsey India estimates that the country needs at least 150,000 new data wizards to come to grips with Big Data. McKinsey Global estimated the US itself had a shortage of between 140,000 and 190,000 people with deep data analysis skills and another 1.5 million managers, which was hampering its Big Data projects.
Read article here
Added by Gaurav Vohra on March 23, 2013 at 12:33am — No Comments
The Impact of Big Data Analytics on Healthcare & Your Health
Often we take good health for granted. However if you or a loved one has ever experienced a sever injury, disease, or other health event, it is often a life changing occurrence, which turns one’s life upside down. Today, there is more information available to patients to understand the symptoms, outline event progression, and summarize treatment options thanks to the Internet. However, there is…Continue
Excellent customer communications is now a recognized component to drive sales and give Insurance companies the competitive advantage. Here are some tips when utilizing analytics to solve marketing solutions while keeping the customer in mind:
Added by Ben Gold on January 10, 2013 at 12:00pm — No Comments
Merriam-Webster defines analytics as “the method of logical analysis.” In business, analytics is the process of analyzing quantitative data to glean information about performance. This process is often used in marketing departments and in risk management. Analytics is also a very important tool for the management and maintenance of websites.
The field of analytics is growing, as more companies realize the benefits of the method. This is especially true for internet-based…Continue
Two weeks ago I attended the Customer Insight & Analytics Exchange in London, in which I participated as a speaker. See Maz Iqbal's account of these two days here:
One of my personal highlights from day 1 was Suresh Vittal's presentation (Forrester). He…Continue
There is no question that the USA (in fact, most of the world) would be well-served with more quantitatively capable people to work in business and government. However, the current hysteria over the shortage of data scientists is overblown. To illustrate why, I am going to use an example from air travel.
On a recent trip from Santa Fe, NM to Phoenix, AZ, I tracked the various times:
Added by Neil Raden on June 27, 2012 at 10:00am — No Comments
Past week I attended a Marketing colloquim where I was invited as a panel member to discuss the new realities of marketing performance and metrics. What struck me was the growing importance of Data across sectors and company size. But aside from the consensus that existed on the importance of Data in defining, adapting and evaluating go-to-market approaches, there were a multitude of opinions on how to realise this – in particular on the amount of technology investments…Continue
Added by Patrick Glenisson on June 4, 2012 at 9:10am — No Comments