Workforce Data

Big Data jobs

It has been highly chronicled that the Big Data talent shortage is turning into a storm of epic proportions; the number of Big Data Analytics positions is expected to reach 4 million globally by 2015. So will H1-B visa holders be the solution to the Big Data talent shortage? Yes, if a few things happen.[read more]

social & mobile: the new resume

Although resumes still remain the gold standard of job hunting and applying to job postings, there is a shift happening. The access to Social Data that employers have is painting a much more accurate picture of candidates and is becoming the first "filter" in the evaluation process.[read more]

Big Data overload / shutterstock

It’s becoming clear that HR software and services companies have a big “big data” problem. Big data may be the “in” thing, but many HR businesses are struggling to successfully position themselves as big data providers. The problem has three parts: scope, readiness and interest.[read more]

big data security

Today's security systems still have long ways to go before being fully integrated in true Big Data sense. Security professionals need to be able to get increasing value from the data they already collect and analyze, on top of the data they still are not getting. Here are some key considerations.[read more]

Smart part numbers

To drive out the reliance on Smart Part Numbers, all areas of the business need to work together to define streamlined material handling processes and technology-enabled, attribute-based part number lookup solutions to deliver the same operational efficiencies.[read more]

data visualization/shutterstock

I am often asked which industries offer the best potential for application of a Big Data solution. Here is an excellent visualization on opportunities for Big Data across several industries prepared by Brett Sheppard based on Gartner Intelligence.[read more]

Long-range planning is the formal quantification of the strategic plan and how that strategy is expected to play out over a period of time. Our recent benchmark project demonstrated that there’s room for improvement in almost every aspect of the long-range planning process.[read more]

profile/shutterstock

Big data has upended the old hiring tactics. Using a combination of data analysis and personality tests, companies are finding new places to recruit qualified candidates. Big data gives companies context on individuals that goes beyond a background check.[read more]

One of the most serious but mostly overlooked issues is that desktop spreadsheets are error-prone. One-third of our research participants say that errors in data occur in the spreadsheets they use for their most important process, and a quarter say there are errors in formulas.[read more]

LinkedIn has launched performance management sharing that could produce valuable data.[read more]

Companies that make decisions based on good data and analytics outperform their peers. Google is a great example, they have created a culture where fact-based and data-driven decision making is the norm, rather than the exception.[read more]

So, why does it still seem to take an eternity and cost a fortune to acquire and integrate new data into an existing report? The bottleneck has moved upstream: finding and extracting source data is complicated and time consuming. We’ve invested in our Integration Competency Centers to create an assembly line to streamline the process of transforming and converting data that is loaded into databases or applications. Unfortunately, we’ve not devoted any effort in simplifying access or understanding the actual raw source data that feeds the assembly line.[read more]

HR/shutterstock.com

A terrible global economy, too few jobs, too many applicants, and far too many resumes. Sounds like a ripe opportunity for “Big Data” analytics to sort through the plethora of personalities and find needles in the proverbial haystack doesn’t it? Not so fast. In a rush to use sophisticated algorithms to find and hire the right people, employers may be confusing correlation with cause.[read more]

You are a business decision maker or analytics professional. You use data to identify trends, make decisions, develop strategies, and evaluate programs. You create competitive advantage. Analytics, business intelligence, data mining, visualization, and predictive models require data – valid, consistent, and reliable data. Your organization, business leaders, and stakeholders depend on you to get it right. Can you imagine doing your job without data?[read more]

collaborate/shutterstock.com

A lot of surface-level analysis I’ve seen on this announcement is not worth reading, but the deeper review below may help Kenexa and IBM customers, along with the market at large, and understand the implications of this announcement.[read more]