There are a lot of ways to manage, manipulate and store data today and those options can sometimes be confusing. Organizations often get lost when considering the myriad of options for big data and cloud development services.
Every organization manages projects – some are big and some are small and some are the lifeblood of the enterprise. Even with an enterprise project management solution, consulting companies, internal project management teams and other businesses that provide project management services often fail to meet objectives. Your organization needs analytics for project management in order to establish goals and track milestones and project results, or the enterprise cannot learn from its mistakes, forecast resources, predict revenue or improve its competitive position in the market.
The Gartner Magic Quadrant is a well-known report and tool both for vendors and for prospective customers. The Gartner Business Intelligence Magic Quadrant offers in-depth analysis of the current market and predictions of where the market is going. There is no doubt that the Business Intelligence market has moved toward Advanced Data Discovery tools and self-serve tools like Self-Serve Data Preparation, and Plug n’ Play Predictive Analysis.
Good, clear data is crucial to the success of every organization. No one can run a successful business without understanding what they are doing that is working, what needs to be changed, what their customers want, what their competitors are doing and how the market is changing. You’ve got a lot of data but you need to get to the heart of that data, make it clear, and understand what it is telling you. That’s where data extraction, transformation and loading (ETL) and data warehousing comes in.
Whether you are a Sales Manager or an executive, you really need to understand the impact of sales efforts for every product, every division and every location. There is no way to achieve consistent sales results without up-to-date, accurate information. Analytics for sales force allows Sales Directors and Sales Managers to use data to monitor goals and objectives. Dashboards for sales teams allow you to monitor enterprise sales results at the international, national, regional, local, team, and individual level! With a reporting tool for sales teams, you can manage incentives and set targets and provide accurate sales forecasts and predictions to ensure that the enterprise consistently meets its goals and can depend on the predicted revenue and profits for investment, new product development, market expansion and resource acquisition.
Imagine if your advanced data discovery tool could take the guesswork out of data preparation and visualization and allow your business users to see past the obvious to find the true insight and subtle patterns, trends and data that will help your business to achieve success. Features like smart data visualization make it easy to see what is happening, where the source of a problem lies and what market opportunities may be ripe for the taking.
The concept of Clickless Analytics is one that will be happily embraced by business users and by the business enterprise. The reason is simple! Clickless Analytics allows users to find and analyze information without specialized skills, by using natural language.
What is Apache Spark? The Apache Spark framework includes Spark Core to manage memory and interact with storage systems, Spark Streaming to process live data streams, Spark SQL supporting SQL with HiveQL, MLlib supporting machine-learning algorithms, regression, clustering and filtering, and GraphX supporting graph manipulation and computations. This framework makes it easier to stream data and to quickly process analytics and algorithms, so your applications will run faster and your enterprise can manage Big Data and high volume data.
You may think your business is unique (and it is) but in lots of ways, it is just like mine. Here’s what I mean. Every enterprise, including yours, desperately needs dependable, accurate data to support decisions and planning processes. So, in that way, all businesses are the same. Whether data analysis requirements are ongoing or specialized to support a focused initiative, the challenges of advanced data analytics and data science efforts can be daunting.
Nearly every organization is using social media to promote its products and services and to establish and sustain relationships with prospects and customers. But, how do you know whether your social media outreach and your internet marketing campaigns are working?
