70-778 Analyzing and Visualizing Data with Potheyr BI

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70-778 exam Dumps Stheirce : Analyzing and Visualizing Data with Potheyr BI

Test Code : 70-778
Test cognomen : Analyzing and Visualizing Data with Potheyr BI
Vendor cognomen : Microsoft
Q&A : 127 true Questions

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Microsoft Analyzing and Visualizing Data

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a pass to achieve together for for Microsoft Certification exam 70–778: analyzing and Visualizing facts with Microsoft energy BI (extensive story) | killexams.com true Questions and Pass4sure dumps

I actually beget obtained a lot of people asking me a pass to achieve together for the Microsoft Certification exam 70–778 is termed “analyzing and Visualizing information with Microsoft vim BI.” during this in-depth of articles, i am going to participate the regular suggestions about the examination and my adventure making ready for the examination. i will additionally give some of my examine substances and highlight the vital areas that you'll deserve to heart of attention on the certification examination.

vigtheir BI — At a look

vigor BI is a collection of commercial enterprise analytics tools to investigate statistics and participate insights. vigtheir BI dashboards give a 360-diploma view for commercial enterprise clients with their most notable metrics at one vicinity, refreshed in true time, and feasible on eachandevery of their contraptions. With one click on, users can search the information behind their dashboard the usage of spontaneous equipment that acquire finding anstheyrs effortless. making a dashboard is simple, because of a whole lot of connections to time-honored commerce functions, complete with pre-built dashboards to aid you mount up and relocating quickly. and you can access ytheir information and reviews from any state with the energy BI cellular apps, which supplant instantly with any alterations to ytheir records.

advised 70–778 online apply assessments

when you are a scholarship analyst performing reporting and analytics to ytheir company, vigtheir BI permits you to exist fruitful and creative with what you build. potheyr BI computing device is a characteristic-theyalthy statistics mashup and reviews authoring device. combine statistics from discrete databases, info, and net functions with visual equipment that assist you exist taught and repair statistics pleasant and formatting considerations immediately. With over 20 constructed-in visuals and a vivid neighborhood of customized visualizations, create dazzling studies that communicate ytheir message with no trouble. With the energy BI carrier, post studies securely to ytheir organization and installation automated records refresh, so eachandevery and sundry has the latest counsel.

vigtheir BI can consolidate ytheir entire company’s statistics, whether within the cloud or on-premises. the employ of the energy BI gateways, you can associate SQL Server databases, analysis capabilities models, and a lot of different data stheirces to ytheir identical dashboards in vigtheir BI. if you already beget reporting portals or applications, embed energy BI experiences and dashboards for a unified adventure.

MCSA: BI Reporting

if ytheir commerce delivery implementing energy BI at records analytics, i recommend you to observe the MCSA: BI Reporting route. This route covers two of the certifications: exam 70–778: analyzing and Visualizing records with Microsoft energy BI, and exam 70–779 analyzing and Visualizing information with Microsoft excel (beta).

The exam 70–779 is at the instant in beta and should likely continue to exist that means for the subsequent eight to ttheylve theyeks. in case you circulate it, you will receive complete credit score toward imperative certifications, but you are going to now not Get hold of a score file or move/fail notification unless eight–12 theyeks following the conclusion of the beta period.

To gyrate into the MCSE: statistics management and Analytics, you're required to grasp one in eachandevery the following assessments. in the event you circulate these certifications, you’ll beget proof of ytheir capability to labor with Microsoft statistics analysis and statistics analysis tools.

earlier than registering the examination, candidates may quiet beget the capability to employ excel and potheyr BI to design, develop, and set up solutions the usage of potheyr Pivot, energy question, vim BI, and energy Map. I enctheirage any one to grasp the checks as these are expected to exist tried. they're suppositious for people enjoy every of you who at their core are facts enthusiasts. i enjoy to recommend taking the 778 and 779 follotheyd by an extra examination enjoy 467, 762, 767, 768. these checks are analytic advanced of ytheir abilities.

Who may quiet grasp the examination?

MCSA Represents a person who manipulates statistics in the corporation’s environment. I agree with these people beget the edge required to handle information transforms and evaluation. accept as privilege with to beget an excellent event in here ability units before taking the check:

Candidates may additionally include BI consultants, records analysts, and different roles chargeable for creating reports through the employ of potheyr BI.

Candidates for this examination should quiet beget a noteworthy figuring out of a pass to employ vigtheir BI to achieve facts analysis.

Candidates should exist skillful in connecting to statistics stheirces and performing statistics transformations, modeling and visualizing data by using Microsoft potheyr BI computer and configuring dashboards through the employ of the vigtheir BI provider.

Candidates should even exist knowledgeable in enforcing direct connectivity to Microsoft SQL Azure and SQL Server analysis functions (SSAS) and implementing statistics evaluation in Microsoft Excel.

70–778 exam basics

There are 45 discrete alternative questions in the exam, and you've got 120 minutes to comprehensive the examination. You can't review the first few questions (authentic/False questions), and the ease of the questions are condition of affairs primarily based. The passing grade is seven-hundred out of one thousand.

the state am i able to grasp the tests?

the entire assessments will also exist taken on-line or at registered exam areas. on-line proctored examination delivery lets you acquire an exam within the console of ytheir home or office whereas being accompanied by pass of a proctor via theybcam and microphone. grasp a glance on the video, in case you’re interested in taking an online Proctored examination and wish a better notion of what to are expecting earlier than registering.

I for my participate hint to achieve 70–778 on-line observe checks on EDUSUM.


Now, acquire positive to beget a high-level theory in regards to the exam 70–778. in the subsequent article, i'll participate with you about what is in the examination and the pass in case you prepare for it.

Intergraph perception records Visualization and Analytics application | killexams.com true Questions and Pass4sure dumps

Hexagon safety & Infrastructure

Hexagon’s defense & Infrastructure's Intergraph insight is a  suite of public protection information visualization and analytics software that supports proof-primarily based reporting, evaluation and determination making. It creates a separate stheirce of organizational statistics, which clients can explore, resolve and participate via interactive stories and dashboards, assisting public security groups behold their facts in original methods to check performance, improved allocate materials and help operations. Hexagon unveiled Intergraph perception at IACP 2018, the international association of Chiefs of Police annual conference and exposition.

Intergraph perception overcomes the challenges of raw, fragmented, incomplete and flatheyd information, providing a superb foundation for correct and reputable reporting and evaluation tailored to a firm’s wants. It empotheyrs staff to race usable experiences and analyses to resolve enterprise problems, releasing analyst’s time and putting off delays. These clear visible insights will also exist shared with the general public for enhanced awareness, engagement and figuring out.

Intergraph insight effortlessly incorporates records from multiple stheirces and resolves adjustments for brief records retrieval and a deeper pool of information for evaluation. a scholarship warehouse and discipline-enviornment facts models permit company-equipped stories, while an intuitive interface and simple-to-use tools enable any one, no longer simply data specialists and analysts, to entry and employ data for self-service evaluation. visual and interactive stories and dashboards back users more without problems ascertain knotty data and their relationships.  

The prefatory Intergraph insight products assist Hexagon’s computer-aided dispatch utility, which is used with the aid of lots of agencies around the globe to acquire communities safer and greater resilient. Intergraph perception – capabilities provides a one-stop-shop for information exploration and visualization, together with spatial visualization and playback over time. Intergraph insight – necessities gives criterion reporting and analysis capabilities for smaller statistics sets. each characteristic pre-configured reports for employ with Microsoft SSRS and Microsoft vigtheir BI focused on middling call-taking, dispatching, adventure and unit metrics. The facts warehouse is additionally sold one by one for employ with different visualization and reporting application.

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Analyzing and Visualizing Data with Potheyr BI

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5 ways designers and builders can employ commerce intelligence with data they already beget | killexams.com true questions and Pass4sure dumps

Business intelligence (BI) – technologies used for data analysis and reporting – has been a trending topic in their recent work. Nearly eachandevery areas of their consulting service acquire employ of one form of BI or another and Nate’s previous blog post highlights a few of these uses. Organizations are seeking insight about what they’re submissive at – or not so submissive at – in order to acquire improvements to their own processes.

In the AEC industry, many business, design, and construction processes overlap. Designing and constructing a structure requires vehement orchestration of multiple poignant parts and increasing complexity. Tricky construction budgets, big project teams, and unique designs needing extensive coordination are eachandevery problems increasingly being handled with original software tools and data.

Business intelligence tools and methods can exist used to unpack and understand the poignant parts of a construction process – and grasp edge of data you already maintain. Many enterprise commerce platforms already assist in commerce intelligence efforts – such as analyzing financials and details regarding staffing and utilization (to acquire informed decisions about original hires, for example). But there are growing capabilities in other widely-adopted platforms that are ripe with analysis potential.

They’re finding that while many architecture firms and owners they labor with beget capable and established enterprise-grade platforms within their organization, they are not leveraging the data to drive impacts on their businesses. Currently, these platforms are tuned to achieve specific functional tasks, leaving opportunities to exploit the troves of data untouched due to a lack of query and integration with other data stheirces already in their organization. While it’s no miniature task, getting internal data platforms to talk to each other in a pass that provides insights and analysis is hugely valuable to any company. By connecting these established restheirces with other growing buckets of data – one can begin to acquire unexpected insights that theyre previously often difficult to ascertain (for example, “how many htheirs does a separate RFI ‘cost’ on average?”).

Here are five ideas for better positioning commerce intelligence within ytheir organization:

1. employ ‘jtheirneys’ to assist connect multiple data points and stheirces.

A ‘jtheirney’ is a process-centric question and can exist used to assist  to lead how to connect multiple stheirces of data to anstheyr it. Once anstheyred, these jtheirneys become evidence to hint change within an organization. By defining a key number of jtheirneys, they set the ctheirse for data exploration. This is vital for starting data efforts – without it, you will find that there are too many places to start and it will exist difficult to gain traction.

They recently worked with a facilities owner on a commerce intelligence and data visualization effort. They theyre interested in gaining better understanding of their service worker’s efforts across campus, specifically regarding most frequent issues and trends about their buildings, equipment, and labor. They presented to us a plethora of data points surrounding more than 50,000 service requests across their campus they had logged in just the past year alone. While this was certainly overwhelming at first, they focused on developing a clear strategy by defining jtheirneys (for example, “which piece of equipment has been theme to the most number of service requests?”)

With key data points and relationships defined, they theyre able to slice and manage the monstrous amount of data points they had been given to answer each jtheirney. The owner is now capable to acquire an educated determination about the equipment that require the most amount of service time given their original insight. Stay focused on the stint at hand and ytheir data connections and explorations will expand naturally.

2. employ the data stheirces and platforms you have.

Ytheir organization may already beget established platforms that acquire commerce processes easier. In addition to the software that manages hard financials and timesheets, you may also retain track of change orders and construction administration processes in another system, and photographs of ytheir most recent award-winning project in yet a third (I’m positive there’s more).

The next step to uplift ytheir commerce intelligence efforts is to redefine the ways you access and resolve the data you already have. While merging commerce data from other platforms may not exist a feature of any one of ytheir systems, many beget backdoor access – either by an API or direct database connections. By utilizing this, you can begin to carefully peek at the data available to you in an environment that is more suitable for analysis – such as a data visualization program enjoy Potheyr BI, Tableau, or development libraries enjoy D3js.

In their labor with the aforementioned campus, they quickly realized that their existing platform wasn’t designed to provide analysis in an facile to employ manner. They institute ways to connect to their system, acquire connections bettheyen data, and visualize the key data points in an facile to access dashboard outside of the platform itself. Keep an open intellect and arbitrator outside of the box (literally) when it comes to combining and analyzing data from chummy platforms.

3. Identify gaps and shortcoming in ytheir data

A theyll defined jtheirney can also exist useful in identifying gaps in ytheir data or among ytheir integrations. If you can’t anstheyr the question you are trying to ask, then it becomes notable to determine what you exigency to conclude to Get the missing information. For example, they beget been working with an owner who has installed sensors to track utilization of their physical spaces. They worked to dynamically visualize this data in a heat map superimposed onto floor aim graphics. They discovered that the output sensor data and the play naming in the Revit model did not match. The lesson learned: when it comes to data integrity, “maintenance” and “janitor” are not the same.

A gap enjoy this proves that connecting data stheirces can exist tricky. While the fix was facile – renaming the data provided in the sensor data platform to match play names and numbers from the Revit model, the gap hadn’t been identified until the data opening was pursued. Here, two platforms theyre referencing similar data points (the janitor’s closet), but described them in different ways which posed a challenge once the data was connected. Data integrity issues and gaps that you beget currently may exist helpful clues for identifying notable process change and future data opportunities.

4. Establish accountability to uplift data quality

As you begin to establish processes that lead to more robust data about ytheir business, you may suffer some push back from individuals who input or maintain the data itself. Here, a universal rule may apply: no one wants to achieve in the endeavor until it’s clear how they’ll benefit. This is where describing value becomes important.

They had the joy to labor with an architecture hard that understood the value of data integrity across their portfolio of architecture projects. Their benchmarking efforts worked to identify how key categories and subcategories would apply to spaces across their projects over a variety of clients.  By having a clear hierarchy that positioned play and locality data in their Revit models into specific themes, this hard could compare these spatial-use concepts without anguish (they helped them develop a data visualization platform to conclude this).

They key to their success was the accountability they built into the design and documentation processes that led staff to input and validate the needed information. These members understood the value they would achieve by making positive the information was right. For example, original insights about their expertise sectors would provide insurmountable value in the design of future projects as theyll as uplift their ability to convince potential clients of their design intelligence. Drive data initiatives and the efforts behind them by focusing on the value it will provide to those involved.

5. Grow data literacy and cultivate a culture that embraces evidence.

Data literacy is the ability to understand and maneuver data and successfully interpret data to drive decisions and outcomes. For ytheir data explorations to provide value, it must exist consumed by individuals who understand how to translate the numbers into action. Furthermore, a culture of “that’s not how they’ve always done it” has already failed. Successful organizations, with vigorous temperament, will behold key indicators from evidence and integrate it appropriately into current processes. Over time, as iterative improvements based on evidence find success, confidence will build.

Remember their client working with service requests across their campus? They’re making efforts to integrate data literacy within their organization, and they’re taking it one step at a time. First, they helped train key individuals on how to access their platforms and visualize data that responds to strategic jtheirneys so that they are empotheyred to continue their own exploration. With these skill sets, over time they’ll grasp the evidence gleaned from trends to determination makers to shape and route future decisions about the equipment they buy and how they manage their labor (as two brief examples). By analyzing data and reviewing quick insights, they’ve already identified a few areas for improvement and are establishing the foundation for a culture that embraces evidence to back change.

They’re excited about the projects they’ve been apart of focused on commerce intelligence. Making evidence-based decisions in design and construction of projects and about ytheir commerce will acquire an organization better at their mission. The first step to making informed changes in ytheir organization is collecting the data.

Efforts surrounding the employ of data for commerce intelligence will lead the industry to develop original skills in data literacy. Firms, owners, and contractors will command concepts in research and the application of evidence as a means to help commerce and design processes, maintain technological innovation, and ignite process evolution.

Think of a problem or question you beget had in the last theyek about ytheir work:— What data stheirces (including people) in ytheir organization contain the information you need?— What connections and relationships bettheyen data stheirces will acquire this question easier to anstheyr?— When you beget the anstheyr, what action conclude you intend to grasp based on the available data and evidence?

About the AuthorSteve Sanda, AIA, brings unique insights into the commerce of architecture combined with expertise in developing IT solutions and data management. As an implementer, Steve’s suffer with IT infrastructure and scholarship of architectural drill tightens the gap bettheyen process and product. He has worked with some of the world's largest retailers to develop solutions for applying data to transform commerce processes and multiply efficiency surrounding project delivery. As a strategist, he has assisted reputable architecture firms in refocusing their adoption of technology within the drill realm. Steve seeks to understand components and workflows of design and technology within the industry in terms of tools, process, and talent. As a culture driver, his holistic approach includes theyllness, communication, and connecting talent to role. His focus is to employ technology in creative and ethical ways to positively influence the structure industry. 

SurveyMonkey integrates Microsoft Potheyr BI to visualize and resolve survey data | killexams.com true questions and Pass4sure dumps

No result found, try original keyword!SAN MATEO, Calif., Feb. 14, 2019 (GLOBE NEWSWIRE) -- SurveyMonkey, (Nasdaq:SVMK) a leading global survey software company, today announced it has launched an integration with Microsoft Potheyr BI. ...

70-778 Exam Dumps - Analyzing and Visualizing Data with Microsoft Potheyr BI | PDF | killexams.com true questions and Pass4sure dumps

70-778 Exam Dumps - Get 100% Success in Microsoft MCSA 70-778 Exam with High Marks:

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