Guide to big data analytics tools, trends and best practices. Introduction By now, many companies have decided that big data is not just a buzzword, but a new fact of business life -- one that requires having strategies in place for managing large volumes of both structured and unstructured data. And with the reality of big data comes the challenge of analyzing it in a way that brings real business value. Business and IT leaders who started by addressing big data management issues are now looking to use big data analytics to identify trends, detect patterns and glean other valuable findings from the sea of information available to them. It can be tempting to just go out and buy big data analytics software, thinking it will be the answer to your company's business needs.
But big data analytics technologies on their own aren't sufficient to handle the task. Well-planned analytical processes and people with the talent and skills needed to leverage the technologies are essential to carry out an effective big data analytics initiative. 3News stories- Big Data Analytics Rollout: 10 Obstacles to Bridging the Skills Gap. Big Data and Analytics - Overview. Turn data and analytics into competitive advantage Three things you must get right... to transform your business, using big data and analytics: 1. Build a culture that infuses analytics everywhere. Empower all employees to make data-based decisions, instead of relying on instinct and past experience. 2. 3. Acquire, grow and retain customers Who are your best customers and how can you keep them satisfied?
Big data holds the insights into who your customers are and what motivates them. View solutions for marketing and sales Optimize operations, and counter fraud and threats Are your operational processes and systems as efficient as they could be? Adopting a big data and analytics strategy can help you plan, manage and maximize operations, supply chains and the use of infrastructure assets. View solutions for operations Transform management processes Do you have real-time access to reliable information about all aspects of your business? View solutions for finance and HR Manage risk. 2013-11-12 IBM Launches Talent Assessment to Help Aspiring Data Crunchers and Academia Gauge and Enhance Skills. WASHINGTON - 12 Nov 2013: IBM (NYSE: IBM) today unveiled the IBM Analytics Talent Assessment, a first-of-its-kind online platform that provides university students with data-driven insights that aim to help narrow the Big Data and Analytics skills gap and foster talent for the next-generation workforce.
Using IBM Analytics Talent Assessment, university students can gauge their readiness for public and private sector Big Data and analytics careers and gain guidance on ways to further develop and position themselves for these in-demand jobs through a simple online questionnaire. In addition to benefitting students and universities, talent assessments help organizations identify and hire the right candidate for the right job. They can also enable them to more accurately predict performance, thereby adding greater efficiencies to an organization's human capital management strategy. Helping Big Data and Analytics Students Set the Right Trajectory. Big Data Brings Big Demand for Analytical Skills – WA: Press Room. During September 2013, more than 88,000 “big data” jobs were available online in the United States, a 13% year-over-year increase in demand, according to WANTED Analytics™. New York, NY – October 10, 2013.
During September of 2013, more than 88,000 available jobs required “big data” analysis skills, according to WANTED Analytics™ (www.wantedanalytics.com), the leading source of real-time business intelligence for the talent marketplace. As companies collect more data, they are driving the need for data analysts that can understand the numbers and create actionable strategies. In September, the number of jobs that require data analytics skills sets increased 13% year-over-year compared to September 2012.
The industries that had the most demand for “big data” skills were health and medical insurance carriers; colleges, universities, and professional schools; business support services; computer systems design services; and management consulting services. Source: WANTED Analytics. Big data boom leads to the rise of the Chief Data Officer. CIOs are beginning to find that they have to step aside for the new kid on the block — the CDO or Chief Data Officer. According to analyst Gartner, by the end of this year 17 percent of organisations will have hired this latest addition to the management alphabet soup, and that will be just the start.
The reason for this, Gartner said is the growth of big data and its related technologies. This growth means that the CIOs' role is just too big, according to Gartner, and should be split. The growth of big data has made it logical to create the role of CDO and organisations need to understand that the role is at least as important, if not more important, than that of CIO. The creation of the role may do something to address the gender imbalance in IT as well: more than 25 percent of the CDOs surveyed by Gartner are women. "The CIO role is overloaded with expectations and responsibilities," said Gartner senior analyst Debra Logan. More on Big Data. In-demand big data skills: a mix of old and new. In fall of 2012, MIT's Sloan Management School issued a report discussing the differences between big and regular data, and also differences in skills that the two demanded. Organizations that utilize big data differ from those with traditional data practices in that they: Pay attention to flows as opposed to stocks;Rely on data scientists and product and process developers as opposed to data analysts; andMove analytics from IT into core business and operational functions.
In-demand skills This 'skills bill' isn't easy to fill in businesses today, which is exactly why we keep hearing about competition intensifying for big data professionals. At the same time, however, big data in businesses doesn't run well without contributions from traditional data competencies. For instance, 59 percent of companies responding to a 2012 survey conducted by analyst firm Information Difference said that their big data projects were 'highly linked' to their master data repositories. Chief Data Officer, Data Protection Officer : pour les recruteurs, ce sont les métiers… d’aujourd’hui. INFOGRAPHIE. Les DRH, comme d'ailleurs les directions finance et marketing, sont unanimes : pour 57% d'entre deux, la transformation numérique de l'entreprise crée de nouveaux métiers. Et quel sera LE métier le plus recherché demain ? Data scientist, assurément. Mais pour les RH, le défi va bien au-delà de l'acquisition de nouvelles compétences...
En novembre dernier, la Maison Blanche lançait un appel : l’Amérique a besoin de data scientists ! Lire aussi : 200 000 emplois “technologiques” de plus en 2020 : SOS compétences Le branle-bas de combat est sonné pour se donner les moyens de former aux compétences requises pour tirer profit de ce que beaucoup nomment “le nouvel or noir”.
Lire aussi : Anticipe ou crève ? Quels travailleurs serons-nous demain ? Au-delà des métiers, de grandes fonctions-types : protecteurs, optimisateurs, storytellers Lire la suite + Les DRH dans tout ça ? > L’infographie en intégralité : Crédit image : ELISE Communications/flickr (licence CC)