Skip to main content

Home/ BI-TAGS/ Group items tagged research

Rss Feed Group items tagged

cezarovidiu

2013 ERP research: Compelling advice for the CFO : Enterprise Irregulars - 0 views

  • ERP vendor selection. As the following graph shows, the primary candidates for ERP software were SAP, Oracle, Microsoft, Epicor, and Infor:
  • The cloud question. Despite the hype, only 14 percent of respondents are using ERP delivered as Software as a Service (SaaS). Although the best cloud vendors can deliver superior security and reliability than most internal IT departments, market momentum to ERP in the cloud is not there yet, as the following diagram illustrates:
  • Important lessons. Implementing an ERP system is always complex because the deployment drives changes to both data and processes that extend across departmental boundaries inside the organization.
  • ...4 more annotations...
  • Software projects aren’t just technical endeavors. They’re also political, financial, emotional, structural, strategic, process and people-centric initiatives. Ignoring any one of these dimensions is done at the project manager’s peril.
  • Today’s CFO must balance the demands of two competing forces: the extraordinary wave of innovation (and the process changes these bring) against the regulatory, control-driven forces who want every process, every exception, and device to be documented, controlled and secured. In recent years, CFOs have spent tens of billions of dollars (or more) with audit firms to document the control points and risks within their existing ERP solutions.
  • ERP can bring significant benefit but implementation requires careful attention to both business planning and technology activities. For this reason, achieving project success and business value demand that CFO and CIO work together as a collaborative unit.
  • Therefore, it is essential to create this partnership and show your entire organization that the business and technology teams can communicate, collaborate, and share knowledge on a systematic and consistent basis. This collaboration is the true underlying strategy for gaining maximum value from ERP or any other enterprise initiative.
cezarovidiu

Universities Offer Courses in a Hot New Field - Data Science - NYTimes.com - 0 views

  • Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions.
  • Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
cezarovidiu

10 Reasons Why CEOs Don't Understand Their Customers - Forbes - 0 views

  • 1) Do bad customer experiences cause people to switch brands? In a 2011 research project conducted by CX application vendor RightNow, 89% of consumers said that yes, a bad experience has spurred them to switch brands. But in the brand-new study of business-executive perceptions that’s the subject of this column, only 49% of the surveyed executives said yes.  QUESTION: What steps do you need to take to close this dangerous perception gap? 2) While 97% of executives say CX is critical to the success of their company, and 91% say they’re committed to making their company a CX leader, only 20% would rate their own CX initiatives as “advanced,” with a dedicated CX leader in place, initial projects pushed to the optimization phase, and the overall project extended to new channels and groups . QUESTION: What are the obstacles preventing you from aligning your actions with your words? If you say it’s a “budget” issue, aren’t you really talking about strategic priorities rather than line items? 3) Most companies have a clear and direct understanding of the looming CX challenge and the powerful interaction of social media. The study found that the top two drivers for CX initiatives are (a) rising expectations from customers (59%),  and (b) the impact of social media on customers’ ability to broadcast good and bad experiences (37%). Now, even if you’re able to somehow rationalize those findings, here’s one that not even the most-accommodating executive can dismiss:
  • 4) Being a CX laggard can cost those companies many tens of millions or even hundreds of millions of dollars in lost revenue: executives estimated that the lack of positive, consistent, and brand-relevant customer experience can cause them to lose out on a staggering 20% in annual revenue.
  • Worse yet, all that money’s likely to wind up in the pockets of your competitors!
  • ...1 more annotation...
  • 5) While 81% of execs said they believe that social media is an essential ingredient in delivering great customer experiences, 35% of responding companies still do not have social media for sales channels, and another 35% still do not have social media for customer service. QUESTION: How do you plan to close that dangerous gap?
cezarovidiu

Big data: The next frontier for innovation, competition, and productivity | McKinsey & ... - 0 views

  • The amount of data in our world has been exploding, and analyzing large data sets—so-called big data—will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey's Business Technology Office.
  • For example, a retailer using big data to the full could increase its operating margin by more than 60 percent.
  • important factor of production, alongside labor and capital.
  • ...9 more annotations...
  • five broad ways in which using big data can create value
  • Leading companies are using data collection and analysis to conduct controlled experiments to make better management decisions
  • others are using data for basic low-frequency forecasting to high-frequency nowcasting to adjust their business levers just in time.
  • big data allows ever-narrower segmentation of customers and therefore much more precisely tailored products or services.
  • Fourth, sophisticated analytics can substantially improve decision-making
  • big data can be used to improve the development of the next generation of products and services.
  • The use of big data will become a key basis of competition and growth for individual firms.
  • For example, we estimate that a retailer using big data to the full has the potential to increase its operating margin by more than 60 percent.
  • The computer and electronic products and information sectors, as well as finance and insurance, and government are poised to gain substantially from the use of big data.
cezarovidiu

Analyzing Human Data: Take a Dive to Find Out What Your Customers Really Feel - Content... - 0 views

  • What really interests me, and what I think should interest marketers, is what I’ll call signals – one of which is intent. Intent is critical because it can predict action. For example, “Is this person shopping to buy a product like my product?” “Is this person unhappy and needing some form of attention?” “Is this person about to return the product for a reason that is addressable?”
  • Sentiment is one ingredient of intent. If someone is happy, sad, angry … that can be determined via sentiment analysis technologies.
  • Many tools struggle with context.
  • ...9 more annotations...
  • An example I hear over and over again is “thin” – good when you’re talking about electronics, but bad if you’re talking about hotel walls or the feel of hotel sheets. To do sentiment analysis correctly, you need refinement. You need customization for particular industries and business functions.
  • The market, unfortunately, is polluted with tools that claim to have sentiment abilities, but are too crude to be usable. Even with refinement (e.g., the ability to handle negators and contextual sentiment), approaches that deliver only positive and negative ratings don’t take you very far.
  • There are definitely easy, inexpensive entry points that can meet basic, just-getting-started needs: tools for social listening, survey analysis, customer service (handling contact-center notes, for instance), customer experience (via analysis of online reviews and forums), automated email processing, and other needs. These technologies are user friendly, available on demand, as a service.
  • Text mining:
  • Digital Reasoning, Luminoso and AlchemyAPI.
  • Image recognition and analysis: Image analysis now automatically identifies brand labels in pictures.
  • VisualGraph (now owned by Pinterest), Curalate, Piqora (nee Pinfluencer), and gazeMetrix.
  • Emotional analysis in images, audio, and video: These companies promote analysis of speech and facial expression primarily for structured studies
  • • Affectiva conducts webcam emotional analysis for media and ad research, including development tools to integrate emotional study in mobile apps. • Emotient performs emotional analyses in retail environments, evaluating signage, displays, and customer service. • EmoVu by Eyeris tests the engagement level of both short- and long-form video content. • Beyond Verbal studies emotion based on a person’s voice in real time.
1 - 10 of 10
Showing 20 items per page