Showing posts with label Big data platforms. Show all posts
Showing posts with label Big data platforms. Show all posts

Tuesday, March 17, 2020

Big Data capabilities are a vital aspect of identifying, assessing, and leveraging insight for competitive advantage – Charter Global


How do we overcome this obstacle, you ask? Start with acquiring a C-Level Sponsor who leads, commits and holds organizations accountable to a Big Data strategy. The three goals of the C-Level Sponsor are:

  1. First, you have to have a plan. It takes a strategy to get you there.
  2. Second, the plan must put together a proven set of formulas, approaches and methods to win. There is no way to luck into success. As my high school football coach used to say, “Luck is when preparation meets opportunity”.
  3. Third, is to establish the strategy outcomes by answering the question, “Why are we doing this?” This answer should be quantified in business value creation dollars and remain the focus and measurement of the success of the strategy.

CEOs are being asked by the investor community and/or industry analysts to share their organization’s Big Data strategy. The investment community is wise to the fact that organizations that deploy and adopt Big Data and Predictive Analytics provide for long term stability and value gain to the shareholders. With the failure rate at approximately 70% for Big Data projects, it is important for the C-level Sponsor to mitigate risk and dollars in establishing a successful winning strategy. A winning strategy aligns executive, operational and IT goals into a single focus for significant value gain to the organization, shared responsibility and transparent accountability.

Seek outside help with an IT Consulting Partner who earns the trust of IT, Business & C-Level to help guide your organization through the strategy, process, methods and multiple POCs that are needed. There are many advantages for partnering with an outside trusted advisor:

  1. They accelerate your organization’s adoption of proven methods and approaches that guarantee success.
  2. There are politics in everything these days and Big Data has Big Politics attached internally with careers made and loss on such decisions; leverage an outsider to help manage through the status quo successfully because they have done it many times before.
  3. Having a trusted voice that is vendor neutral and is concentrating specifically on your success. Assisting you in managing vendors and proving out their claims before investing millions of dollars.
  4. Your team gets immediate access to critical key talent with a proven track record that you currently do not possess internally or cannot find.
  5. A trusted advisor guides the building of a cross-functional team and helps create a common set of semantics for communication. Big Data problems are modeling problems, and the models you are trying to create are those of the entities on which you gather data. The dynamics of the data and the products that derive from them are so dynamic that the business and IT folks need to be part of the same discussion and accountable as a team.
  6. Making the project successful, will require that the cross-functional team avoids any folks that are part of the old way of thinking; otherwise, the gap will persist and widen. A trusted advisor keeps a keen eye on the team and engages the C-level sponsor as needed to guide focus and outcome.
  7. Most importantly, they keep the focus of Big Data directed on outcomes that support the business and valuable outcome.



Friday, February 28, 2020

Look Out for These 7 Trends in the Internet of Things (IoT) | Charter Global


The internet has become a beastly enterprise, with the past ten years seeing more technological advancements than perhaps any other industry. The Internet of Things (IOT), for example, is one such advancement gaining immense traction in the marketplace. Here are 7 IoT trends to look out for this year.

1. Big Data Convergence:

IoT is changing the way we live and conduct business exponentially, generating a huge amount of data in the process. Big data platforms, for example, are usually made for supporting the demands of large-scale storage and for performing investigative work.


Interestingly, IoT and big data have a lot in common. Smart devices, for example, are now being designed specifically for the purpose of digesting massive amounts of system and user generated data. The cloud has proven instrumental in meeting analytic and storage requirements in the realm of big data. Moving forward, the junction between IoT and big data will definitely be a trend on the rise.


2. Data Processing with Edge Computing:

Albeit a powerful force, weaker elements in IoT are evident in the addition of devices behind the firewall of the network. While Securing the devices may be easy, securing the IoT itself proves a trickier phenomenon. Thus, security measures must exist between the network connection and the software applications linking to the devices.


Perhaps the most notable benefits of IoT are it’s cost-effectiveness and efficiency, especially in data processing. Rapid-fire data processing is prominent in most smart devices, re: self-driving vehicles and intelligent traffic-lights (aptly coined, “smart lights”). Edge computing has been proposed as a potential solution, gaining immense popularity.


Edge computing usually outperforms the cloud when it comes to speed and cost. Faster processing translates to lower latency, which is one of the premium benefits of edge computing. Data processing with edge computing will see an uptake in IoT trends in the near future, for certain.


3. Auto-ML (Machine Learning) for Data Security:

In present days, developers are tasked with finding newer methods in which people can share data securely by the use of block-chain-like technologies. Many industrial companies are learning how to trust and accept the forecast of machine learning models (otherwise known as “predictive analytics”), and will acclimatize their operations for preventing the downtime by model outputs.


Machine learning model training will likely become a highly automated process. Industrial companies in particular will increase the large capital assets, particularly in cloud computing, in the near future.


4. IoT – Massive Growth Coming:

When it comes to data analytics, IoT is perhaps the most promising technology to date. Smart devices ingest more data and information about the devices and users, and by 2020, it is expected that IoT devices will exceed 31 billion. Today, we see IoT devices as the major part for reporting and tracking.


IoT is capable of the extraction, storage, and analysis of massive data stores. When coupled with other ground-breaking technologies, like Artificial Intelligence (AI), for example, the essential data can be appropriately measured, filtered and categorized. IoT trends will most definitely see an increase in the amount of “work” smart devices are doing. What’s more, they will serve to assist data scientists and technicians in providing powerful, insightful suggestions.


5. Better Data Analytics:

Chances are, you’ve heard some of the hype and clamor surrounding artificial intelligence in modern business practices. The merger of IoT and AI has seen many recent developments, as the two can be used interdependently to provide e a centralized decision-making tool for all types and sizes of businesses.


AI and Machine Learning Development Services that can easily identify trends, patterns, and unique behaviors otherwise invisible to the naked human eye. Better data analytics and the need to safeguard this said data are two major reasons for the rise of this trend. By collecting insights from this data, we could even suggest it be rendered to help us make better decisions in our personal lives. The sheer intelligence, thoughtfulness and self-learning capabilities make this a hugely popular trend to look out for in the near future.


6. Smart Cities to Become Mainstream:

When it comes to data collection, many states have adopted a more technological approach – replacing or improving upon antiquated infrastructure; integrating sensors to reap data that proves invaluable for the purpose of urban planning and development. Prepare yourself for the integration of IoT into just about every sidewalk, crosswalk, highway, and byway, as data collection becomes less of a convenience and more of an evolutionary imperative for American progress.
Cities both nationwide and globally will become pioneers for the great data exchanges affording accessibility and empowering evidence for better decision-making. Ultimately, the digestion and dissemination of this unique, all-telling data will provide a fundamental platform for both private and public organizations, and the citizens under their watch.

7. Personalization of the Retail Experience:

With IoT, the efficiency of supply chain and information systems management has grown by leaps and bounds with respect to retail. Sensors and other smart beacon technologies are being used to tailor shopping experiences with ease, speed, and accuracy like never before.

In the not-so-distant future, IoT can be used to monitor, gauge, track, and personalize your investment portfolio – making unique, custom trade recommendations based on your data insights. Or, imagine getting notified immediately when a highly-sought after product from your favorite shop is discounted via push notification which when expanded, offers an indoor map of your favorite shop – leading you to the exact product you desire.


The value of this trend ensures the better integration of personalized retail experiences which ultimately can bring upon a new era of shopping as we know it.


For more related information, please visit our website: